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ORCIDChitta Baral
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2024
[c207]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI 2024: 14554-14562- [c206]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. ACL (Findings) 2024: 12717-12733 - [c205]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. ACL (Findings) 2024: 13111-13128 - [c204]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. ACL (1) 2024: 13679-13707 - [c203]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CVPR 2024: 2794-2803 - [c202]Aayush Atul Verma, Amir Saeidi, Shamanthak Hegde, Ajay Therala, Fenil Denish Bardoliya, Nagaraju Machavarapu, Shri Ajay Kumar Ravindhiran, Srija Malyala, Agneet Chatterjee, Yezhou Yang, Chitta Baral:
Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. CVPR Workshops 2024: 5314-5324 - [c201]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CVPR Workshops 2024: 7303-7313 - [c200]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CVPR 2024: 9069-9078 - [c199]Agneet Chatterjee
, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [c198]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. NAACL (Short Papers) 2024: 572-582 - [c197]Kevin Scaria, Himanshu Gupta, Siddharth Goyal, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. NAACL (Short Papers) 2024: 720-736 - [c196]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. NAACL-HLT (Findings) 2024: 3656-3677 - [c195]Kuntal Kumar Pal, Ati Priya Bajaj, Pratyay Banerjee, Audrey Dutcher, Mutsumi Nakamura, Zion Leonahenahe Basque, Himanshu Gupta, Saurabh Arjun Sawant, Ujjwala Anantheswaran, Yan Shoshitaishvili, Adam Doupé, Chitta Baral, Ruoyu Wang:
"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. SP 2024: 4069-4087 - [c194]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. *SEM@NAACL 2024: 438-451 - [i138]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. CoRR abs/2401.00287 (2024) - [i137]Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang:
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. CoRR abs/2402.05195 (2024) - [i136]Divij Handa, Advait Chirmule, Bimal G. Gajera, Chitta Baral:
Jailbreaking Proprietary Large Language Models using Word Substitution Cipher. CoRR abs/2402.10601 (2024) - [i135]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR abs/2403.11092 (2024) - [i134]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR abs/2404.01197 (2024) - [i133]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR abs/2404.08540 (2024) - [i132]Amir Saeidi, Shivanshu Verma, Chitta Baral:
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. CoRR abs/2404.14723 (2024) - [i131]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. CoRR abs/2404.15522 (2024) - [i130]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR abs/2405.15961 (2024) - [i129]Amir Saeidi, Shivanshu Verma, Aswin RRV, Chitta Baral:
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization. CoRR abs/2405.16681 (2024) - [i128]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. CoRR abs/2406.03827 (2024) - [i127]Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Chitta Baral, Tran Cao Son:
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. CoRR abs/2406.04046 (2024) - [i126]Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral:
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. CoRR abs/2406.05494 (2024) - [i125]Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, Shreyas Verma, Chitta Baral, Swaroop Mishra:
Investigating the Robustness of LLMs on Math Word Problems. CoRR abs/2406.15444 (2024) - [i124]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. CoRR abs/2406.17169 (2024) - [i123]Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral:
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization. CoRR abs/2407.03525 (2024) - [i122]Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral:
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? CoRR abs/2407.14790 (2024) - [i121]Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral:
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. CoRR abs/2408.02231 (2024) - 2023
- [b2]Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala:
Neuro Symbolic Reasoning and Learning. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-39178-1, pp. 1-119 - [j56]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c193]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - [c192]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. ACL (1) 2023: 967-982 - [c191]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - [c190]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - [c189]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - [c188]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c187]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. EACL 2023: 407-417 - [c186]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - [c185]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - [c184]Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan:
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. EACL 2023: 2891-2919 - [c183]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. EMNLP (Findings) 2023: 4026-4043 - [c182]Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral:
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. EMNLP (Findings) 2023: 13322-13334 - [c181]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV 2023: 434-443 - [i120]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. CoRR abs/2301.10165 (2023) - [i119]Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan:
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. CoRR abs/2302.04434 (2023) - [i118]Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. CoRR abs/2302.08624 (2023) - [i117]Kuntal Kumar Pal, Kazuaki Kashihara, Ujjwala Anantheswaran, Kirby C. Kuznia, Siddhesh Jagtap, Chitta Baral:
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain. CoRR abs/2302.10346 (2023) - [i116]Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR abs/2302.14208 (2023) - [i115]Kazuaki Kashihara, Kuntal Kumar Pal, Chitta Baral, Robert P. Trevino:
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. CoRR abs/2303.05400 (2023) - [i114]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. CoRR abs/2305.01812 (2023) - [i113]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - [i112]Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral:
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? CoRR abs/2305.12096 (2023) - [i111]Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao:
Dr.ICL: Demonstration-Retrieved In-context Learning. CoRR abs/2305.14128 (2023) - [i110]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Kumar Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. CoRR abs/2305.16357 (2023) - [i109]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR abs/2306.00424 (2023) - [i108]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR abs/2306.04695 (2023) - [i107]Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Mutsumi Nakamura, Arindam Mitra, Santosh Mashetty, Chitta Baral:
Instruction Tuned Models are Quick Learners. CoRR abs/2306.05539 (2023) - [i106]Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral:
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. CoRR abs/2308.08147 (2023) - [i105]Divyanshu Raj, Chitta Baral, Nakul Gopalan:
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR abs/2309.00743 (2023) - [i104]Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral:
Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? CoRR abs/2309.04635 (2023) - [i103]Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral:
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. CoRR abs/2310.00836 (2023) - [i102]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. CoRR abs/2310.14495 (2023) - [i101]Himanshu Gupta, Kevin Scaria, Ujjwala Anantheswaran, Shreyas Verma, Mihir Parmar, Saurabh Arjun Sawant, Chitta Baral, Swaroop Mishra:
TarGEN: Targeted Data Generation with Large Language Models. CoRR abs/2310.17876 (2023) - [i100]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Accelerating LLM Inference by Enabling Intermediate Layer Decoding. CoRR abs/2310.18581 (2023) - [i99]Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral:
LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. CoRR abs/2311.09564 (2023) - [i98]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CoRR abs/2312.04655 (2023) - 2022
- [j55]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
An action language for multi-agent domains. Artif. Intell. 302: 103601 (2022) - [c180]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. AAAI 2022: 11038-11046 - [c179]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) 2022: 355-361 - [c178]Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) 2022: 589-612 - [c177]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) 2022: 1493-1513 - [c176]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. ACL (Findings) 2022: 1995-2002 - [c175]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) 2022: 2003-2016 - [c174]Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral:
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. ACL (Findings) 2022: 2705-2718 - [c173]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. ACL (1) 2022: 3412-3425 - [c172]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Cross-Task Generalization via Natural Language Crowdsourcing Instructions. ACL (1) 2022: 3470-3487 - [c171]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) 2022: 3505-3523 - [c170]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CLEF (Working Notes) 2022: 291-304 - [c169]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c168]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? EMNLP 2022: 4553-4569 - [c167]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP 2022: 5807-5832 - [c166]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. EMNLP (Findings) 2022: 5914-5924 - [c165]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. EMNLP (Findings) 2022: 6992-7007 - [c164]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP 2022: 9856-9870 - [c163]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. EMNLP 2022: 11007-11021 - [c162]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. NAACL-HLT (Findings) 2022: 112-128 - [c161]Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. NAACL-HLT (Student Research Workshop) 2022: 181-187 - [c160]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. RepL4NLP@ACL 2022: 221-226 - [i97]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR abs/2201.07745 (2022) - [i96]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i95]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i94]Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou:
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR abs/2203.07522 (2022) - [i93]Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral:
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. CoRR abs/2203.07653 (2022) - [i92]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. CoRR abs/2203.08597 (2022) - [i91]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i90]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR abs/2203.16682 (2022) - [i89]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i88]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. CoRR abs/2204.07600 (2022) - [i87]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i86]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. CoRR abs/2205.00415 (2022) - [i85]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Let the Model Decide its Curriculum for Multitask Learning. CoRR abs/2205.09898 (2022) - [i84]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? CoRR abs/2205.12538 (2022) - [i83]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i82]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR abs/2206.07736 (2022) - [i81]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CoRR abs/2207.02419 (2022) - [i80]Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral:
Reasoning about Actions over Visual and Linguistic Modalities: A Survey. CoRR abs/2207.07568 (2022) - [i79]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR abs/2210.01371 (2022) - [i78]Swaroop Mishra, Anjana Arunkumar, Chitta Baral:
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications. CoRR abs/2210.04466 (2022) - [i77]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. CoRR abs/2210.05528 (2022) - [i76]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. CoRR abs/2210.07471 (2022) - [i75]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
A Survey of Parameters Associated with the Quality of Benchmarks in NLP. CoRR abs/2210.07566 (2022) - [i74]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task. CoRR abs/2210.07631 (2022) - [i73]Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral:
Pretrained Transformers Do not Always Improve Robustness. CoRR abs/2210.07663 (2022) - [i72]Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan:
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR abs/2210.17517 (2022) - [i71]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR abs/2211.03779 (2022) - [i70]Neeraj Varshney, Man Luo, Chitta Baral:
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? CoRR abs/2211.12707 (2022) - [i69]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics from Pairs of Scene-graphs. CoRR abs/2212.03433 (2022) - [i68]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. CoRR abs/2212.03866 (2022) - [i67]Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR abs/2212.10015 (2022) - 2021
- [j54]Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. ACM Trans. Comput. Heal. 2(4): 33:1-33:24 (2021) - [c159]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI 2021: 7574-7582 - [c158]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. ACL/IJCNLP (2) 2021: 932-941 - [c157]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) 2021: 3420-3435 - [c156]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. ACL/IJCNLP (Findings) 2021: 3945-3957 - [c155]Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Commonsense Reasoning with Implicit Knowledge in Natural Language. AKBC 2021 - [c154]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks. EACL 2021: 2766-2771 - [c153]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. EMNLP (Findings) 2021: 3095-3101 - [c152]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. EMNLP (1) 2021: 6417-6431 - [c151]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV 2021: 1888-1898 - [c150]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. NAACL-HLT 2021: 1200-1211 - [c149]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. NAACL-HLT 2021: 3692-3709 - [i66]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. CoRR abs/2103.11263 (2021) - [i65]Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang, Chitta Baral:
Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. CoRR abs/2103.12801 (2021) - [i64]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks. CoRR abs/2103.15022 (2021) - [i63]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. CoRR abs/2104.05981 (2021) - [i62]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. CoRR abs/2104.08773 (2021) - [i61]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. CoRR abs/2105.12392 (2021) - [i60]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. CoRR abs/2105.14357 (2021) - [i59]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. CoRR abs/2107.00315 (2021) - [i58]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR abs/2109.01934 (2021) - [i57]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. CoRR abs/2109.04014 (2021) - [i56]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. CoRR abs/2109.04672 (2021) - [i55]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. CoRR abs/2109.07830 (2021) - [i54]Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. CoRR abs/2109.10497 (2021) - [i53]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR abs/2110.07165 (2021) - [i52]Hong Guan, Chitta Baral:
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis. CoRR abs/2110.08393 (2021) - [i51]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR abs/2110.08438 (2021) - 2020
- [c148]Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. AAAI 2020: 8504-8511 - [c147]Arindam Mitra, Sanjay Narayana, Chitta Baral:
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's Perspective. SPNLP@EMNLP 2020: 102-111 - [c146]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) 2020: 379-396 - [c145]Pratyay Banerjee, Chitta Baral:
Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. EMNLP (1) 2020: 151-162 - [c144]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) 2020: 840-860 - [c143]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) 2020: 878-892 - [c142]Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral:
Visuo-Lingustic Question Answering (VLQA) Challenge. EMNLP (Findings) 2020: 4606-4616 - [c141]Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Semi-Automated Clinical Lexicon Induction and Its Use in Cohort Selection from Clinical Notes. ICHI 2020: 1-2 - [c140]Kazuaki Kashihara, Jana Shakarian, Chitta Baral:
Human-Machine Interaction for Improved Cybersecurity Named Entity Recognition Considering Semantic Similarity. IntelliSys (2) 2020: 347-361 - [c139]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor:
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. NeurIPS 2020 - [p1]Chitta Baral, Martine Ceberio, Vladik Kreinovich:
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. Decision Making under Constraints 2020: 15-20 - [i50]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR abs/2002.08325 (2020) - [i49]Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra:
Natural Language QA Approaches using Reasoning with External Knowledge. CoRR abs/2003.03446 (2020) - [i48]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR abs/2003.05162 (2020) - [i47]Pratyay Banerjee, Chitta Baral:
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering. CoRR abs/2004.03101 (2020) - [i46]Pratyay Banerjee, Chitta Baral:
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering. CoRR abs/2005.00316 (2020) - [i45]Shailaja Sampat, Yezhou Yang, Chitta Baral:
Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. CoRR abs/2005.00330 (2020) - [i44]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: Measuring Data Quality in NLP. CoRR abs/2005.00816 (2020) - [i43]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Chitta Baral:
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. CoRR abs/2005.08516 (2020) - [i42]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Our Evaluation Metric Needs an Update to Encourage Generalization. CoRR abs/2007.06898 (2020) - [i41]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: A Guide to Benchmark Evaluation. CoRR abs/2008.03964 (2020) - [i40]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. CoRR abs/2008.09371 (2020) - [i39]Samarth Rawal, Chitta Baral:
Multi-Perspective Semantic Information Retrieval. CoRR abs/2009.01938 (2020) - [i38]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR abs/2009.08566 (2020) - [i37]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor:
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. CoRR abs/2010.12083 (2020) - [i36]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR abs/2012.01806 (2020) - [i35]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR abs/2012.02356 (2020) - [i34]Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Kumar Pal, Tran Cao Son, Neeraj Varshney:
Can Transformers Reason About Effects of Actions? CoRR abs/2012.09938 (2020)
2010 – 2019
- 2019
- [c138]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. AAAI 2019: 3003-3010 - [c137]Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral:
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. ACL (1) 2019: 6110-6119 - [c136]Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Careful Selection of Knowledge to Solve Open Book Question Answering. ACL (1) 2019: 6120-6129 - [c135]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops 2019: 5-8 - [c134]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. IJCAI 2019: 6252-6259 - [c133]Samarth Rawal, Siddharth Rawal, Saadat Anwar, Chitta Baral:
Identification of Adverse Drug Reaction Mentions in Tweets - SMM4H Shared Task 2019. SMM4H@ACL 2019: 136-137 - [c132]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to Aid Visual Reasoning. WACV 2019: 227-235 - [i33]Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes. CoRR abs/1902.09674 (2019) - [i32]Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Understanding Roles and Entities: Datasets and Models for Natural Language Inference. CoRR abs/1904.09720 (2019) - [i31]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming. CoRR abs/1905.00198 (2019) - [i30]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR abs/1905.12042 (2019) - [i29]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. CoRR abs/1906.09954 (2019) - [i28]Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Careful Selection of Knowledge to solve Open Book Question Answering. CoRR abs/1907.10738 (2019) - [i27]Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava:
A Generate-Validate Approach to Answering Questions about Qualitative Relationships. CoRR abs/1908.03645 (2019) - [i26]Arindam Mitra, Pratyay Banerjee, Kuntal Kumar Pal, Swaroop Mishra, Chitta Baral:
Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. CoRR abs/1909.08855 (2019) - [i25]Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Knowledge Guided Named Entity Recognition. CoRR abs/1911.03869 (2019) - [i24]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Chitta Baral, Heni Ben Amor:
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. CoRR abs/1911.11744 (2019) - 2018
- [j53]Chitta Baral, Shih-Fu Chang, Brian Curless, Partha Dasgupta, Julia Hirschberg, Anita Jones:
Ask not what your postdoc can do for you ... Commun. ACM 61(1): 42-44 (2018) - [j52]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller:
Image Understanding using vision and reasoning through Scene Description Graph. Comput. Vis. Image Underst. 173: 33-45 (2018) - [j51]Arindam Mitra, Chitta Baral:
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. Theory Pract. Log. Program. 18(3-4): 623-637 (2018) - [c131]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. AAAI 2018: 629-637 - [c130]Arindam Mitra, Chitta Baral, Peter Clark:
Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. KR 2018: 657-658 - [c129]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. UAI 2018: 238-248 - [i23]Arindam Mitra, Chitta Baral:
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. CoRR abs/1802.07966 (2018) - [i22]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. CoRR abs/1803.08896 (2018) - [i21]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to aid Visual Reasoning. CoRR abs/1812.03631 (2018) - 2017
- [c128]Zeynep G. Saribatur, Chitta Baral, Thomas Eiter:
Reactive Maintenance Policies over Equalized States in Dynamic Environments. EPIA 2017: 709-723 - [c127]Chitta Baral, Tran Cao Son:
Revision and Updates in Possibly Action-Occurrence-Incomplete Narratives. PRIMA 2017: 53-70 - [i20]Chitta Baral, Thomas Bolander, Hans van Ditmarsch, Sheila A. McIlraith:
Epistemic Planning (Dagstuhl Seminar 17231). Dagstuhl Reports 7(6): 1-47 (2017) - 2016
- [c126]Arindam Mitra, Chitta Baral:
Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. AAAI 2016: 2779-2785 - [c125]Arpit Sharma, Chitta Baral:
Automatic Extraction of Events-Based Conditional Commonsense Knowledge. AAAI Workshop: Knowledge Extraction from Text 2016 - [c124]Arindam Mitra, Chitta Baral:
Learning To Use Formulas To Solve Simple Arithmetic Problems. ACL (1) 2016 - [c123]Chitta Baral, Tran Cao Son, Michael Gelfond, Arindam Mitra:
Plan Failure Analysis: Formalization and Application in Interactive Planning Through Natural Language Communication. PRIMA 2016: 376-386 - [e5]Chitta Baral, James P. Delgrande, Frank Wolter:
Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, KR 2016, Cape Town, South Africa, April 25-29, 2016. AAAI Press 2016, ISBN 978-1-57735-755-1 [contents] - [i19]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. CoRR abs/1611.05896 (2016) - [i18]Vladik Kreinovich, Chitta Baral:
On Selecting a Conjunction Operation in Probabilistic Soft Logic. CoRR abs/1611.06631 (2016) - 2015
- [c122]Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond:
Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence. AAAI 2015: 1604-1610 - [c121]Chitta Baral, Giuseppe De Giacomo:
Knowledge Representation and Reasoning: What's Hot. AAAI 2015: 4316-4317 - [c120]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. AAAI Spring Symposia 2015 - [c119]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
Multi-Agent Action Modeling Through Action Sequences And Perspective Fluents. AAAI Spring Symposia 2015 - [c118]Arpit Sharma, Nguyen Ha Vo, Shruti Gaur, Chitta Baral:
An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge. AAAI Spring Symposia 2015 - [c117]Nguyen Ha Vo, Arindam Mitra, Chitta Baral:
The NL2KR Platform for building Natural Language Translation Systems. ACL (1) 2015: 899-908 - [c116]Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral:
Identifying Various Kinds of Event Mentions in K-Parser Output. EVENTS@HLP-NAACL 2015: 82-88 - [c115]Tran Cao Son, Enrico Pontelli, Chitta Baral:
A Non-monotonic Goal Specification Language for Planning with Preferences. Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation 2015: 202-217 - [c114]Arindam Mitra, Chitta Baral:
Learning to Automatically Solve Logic Grid Puzzles. EMNLP 2015: 1023-1033 - [c113]Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral:
Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. IJCAI 2015: 1319-1325 - [c112]Chitta Baral, Tran Cao Son:
"Add Another Blue Stack of the Same Height!": ASP Based Planning and Plan Failure Analysis. LPNMR 2015: 127-133 - [c111]Somak Aditya, Chitta Baral, Nguyen Ha Vo, Joohyung Lee, Jieping Ye, Zaw Naung, Barry Lumpkin, Jenny Hastings, Richard B. Scherl, Dawn M. Sweet, Daniela Inclezan:
Recognizing Social Constructs from Textual Conversation. HLT-NAACL 2015: 1293-1298 - [c110]Graciela Gonzalez, Chitta Baral, Jeff Kiefer, Suengchan Kim, Jieping Ye:
Session Introduction. Pacific Symposium on Biocomputing 2015: 80-83 - [i17]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
An Action Language for Multi-Agent Domains: Foundations. CoRR abs/1511.01960 (2015) - [i16]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. CoRR abs/1511.03292 (2015) - 2014
- [c109]Saadat Anwar, Chitta Baral:
Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. AAAI 2014: 981-988 - [c108]Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond:
Finitary S5-Theories. JELIA 2014: 239-252 - [c107]Shruti Gaur, Nguyen Ha Vo, Kazuaki Kashihara, Chitta Baral:
Translating Simple Legal Text to Formal Representations. JSAI-isAI Workshops 2014: 259-273 - [e4]Chitta Baral, Giuseppe De Giacomo, Thomas Eiter:
Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, KR 2014, Vienna, Austria, July 20-24, 2014. AAAI Press 2014, ISBN 978-1-57735-657-8 [contents] - 2013
- [j50]Saadat Anwar, Chitta Baral, Katsumi Inoue:
Encoding Petri Nets in Answer Set Programming for Simulation Based Reasoning. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [c106]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
Reasoning about the Beliefs of Agents in Multi-agent Domains in the Presence of State Constraints: The Action Language mAL. CLIMA 2013: 290-306 - [c105]Chitta Baral, Juraj Dzifcak, Kanchan Kumbhare, Nguyen Ha Vo:
The NL2KR System. NLPAR@LPNMR 2013: 37-47 - [c104]Saadat Anwar, Chitta Baral, Katsumi Inoue:
Encoding Higher Level Extensions of Petri Nets in Answer Set Programming. LPNMR 2013: 116-121 - [c103]Chitta Baral, Nguyen Ha Vo:
Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. LPNMR 2013: 161-167 - [e3]Chitta Baral, Peter Schüller:
Proceedings of the 1st Workshop on Natural Language Processing and Automated Reasoning co-located with 12th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2013), A Corunna, Spain, September 15th, 2013. CEUR Workshop Proceedings 1044, CEUR-WS.org 2013 [contents] - [i15]Saadat Anwar, Chitta Baral, Katsumi Inoue:
Encoding Petri Nets in Answer Set Programming for Simulation Based Reasoning. CoRR abs/1306.3542 (2013) - [i14]Saadat Anwar, Chitta Baral, Katsumi Inoue:
Encoding Higher Level Extensions of Petri Nets in Answer Set Programming. CoRR abs/1306.3548 (2013) - [i13]Chitta Baral, Nguyen Ha Vo:
Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. CoRR abs/1306.4411 (2013) - 2012
- [j49]Jörg Hakenberg, Dmitry Voronov, Nguyen Ha Vo, Shanshan Liang, Saadat Anwar, Barry Lumpkin, Robert Leaman, Luis Tari, Chitta Baral:
A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions. J. Biomed. Informatics 45(5): 842-850 (2012) - [j48]Luis Tari, Phan Huy Tu, Jörg Hakenberg, Yi Chen, Tran Cao Son, Graciela Gonzalez, Chitta Baral:
Incremental Information Extraction Using Relational Databases. IEEE Trans. Knowl. Data Eng. 24(1): 86-99 (2012) - [j47]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Aaron Gottesman:
Typed answer set programming lambda calculus theories and correctness of inverse lambda algorithms with respect to them. Theory Pract. Log. Program. 12(4-5): 775-791 (2012) - [c102]Chitta Baral, Marcos Alvarez Gonzalez, Aaron Gottesman:
The Inverse Lambda Calculus Algorithm for Typed First Order Logic Lambda Calculus and Its Application to Translating English to FOL. Correct Reasoning 2012: 40-56 - [c101]Enrico Pontelli, Tran Cao Son, Chitta Baral, Gregory Gelfond:
Answer Set Programming and Planning with Knowledge and World-Altering Actions in Multiple Agent Domains. Correct Reasoning 2012: 509-526 - [c100]Chitta Baral, Nguyen Ha Vo, Shanshan Liang:
Answering Why and How questions with respect to a frame-based knowledge base: a preliminary report. ICLP (Technical Communications) 2012: 26-36 - [c99]Chitta Baral, Juraj Dzifcak:
Solving Puzzles Described in English by Automated Translation to Answer Set Programming and Learning How to Do that Translation. KR 2012 - [c98]Chitta Baral, Shanshan Liang:
From Knowledge Represented in Frame-Based Languages to Declarative Representation and Reasoning via ASP. KR 2012 - [i12]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Aaron Gottesman:
Typed Answer Set Programming and Inverse Lambda Algorithms. CoRR abs/1210.5670 (2012) - 2011
- [j46]Jörg Hakenberg, Illés Solt, Domonkos Tikk, Nguyen Ha Vo, Luis Tari, Quang Long Nguyen, Chitta Baral, Ulf Leser:
Molecular Event Extraction from Link Grammar Parse Trees in the BioNLP'09 Shared Task. Comput. Intell. 27(4): 665-680 (2011) - [c97]Chitta Baral, Juraj Dzifcak:
Solving Puzzles Described in English by Automated Translation to Answer Set Programming and Learning How To Do That Translation. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c96]Chitta Baral, Gregory Gelfond:
On Representing Actions in Multi-agent Domains. Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning 2011: 213-232 - [c95]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Jiayu Zhou:
Using Inverse lambda and Generalization to Translate English to Formal Languages. IWCS 2011 - [c94]Chitta Baral:
Lessons from Efforts to Automatically Translate English to Knowledge Representation Languages. LPNMR 2011: 12 - [c93]Chitta Baral:
Logic Programming and Uncertainty. SUM 2011: 22-37 - [i11]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Jiayu Zhou:
Using Inverse lambda and Generalization to Translate English to Formal Languages. CoRR abs/1108.3843 (2011) - [i10]Chitta Baral, Juraj Dzifcak:
Language understanding as a step towards human level intelligence - automatizing the construction of the initial dictionary from example sentences. CoRR abs/1108.3848 (2011) - [i9]Chitta Baral, Juraj Dzifcak:
Solving puzzles described in English by automated translation to answer set programming and learning how to do that translation. CoRR abs/1108.3850 (2011) - 2010
- [b1]Chitta Baral:
Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press 2010, ISBN 978-0-521-14775-0, pp. I-XIV, 1-530 - [j45]Luis Tari, Saadat Anwar, Shanshan Liang, James Cai, Chitta Baral:
Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism. Bioinform. 26(18) (2010) - [j44]Jörg Hakenberg, Robert Leaman, Nguyen Ha Vo, Siddhartha Jonnalagadda, Ryan Sullivan, Christopher Miller, Luis Tari, Chitta Baral, Graciela Gonzalez:
Efficient Extraction of Protein-Protein Interactions from Full-Text Articles. IEEE ACM Trans. Comput. Biol. Bioinform. 7(3): 481-494 (2010) - [j43]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
Logic programming for finding models in the logics of knowledge and its applications: A case study. Theory Pract. Log. Program. 10(4-6): 675-690 (2010) - [c92]Chitta Baral, Gregory Gelfond, Tran Cao Son, Enrico Pontelli:
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge. AAMAS 2010: 259-266 - [c91]Luis Tari, Phan Huy Tu, Jörg Hakenberg, Yi Chen, Tran Cao Son, Graciela Gonzalez, Chitta Baral:
GenerIE: Information extraction using database queries. ICDE 2010: 1121-1124 - [c90]Chitta Baral:
Reasoning about Actions and Change: From Single Agent Actions to Multi-Agent Actions (Extended Abstract). KR 2010 - [c89]Chitta Baral, Ian Horrocks, Yoav Shoham:
Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. KR 2010 - [c88]Luis Tari, Saadat Anwar, Shanshan Liang, Jörg Hakenberg, Chitta Baral:
Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning. Pacific Symposium on Biocomputing 2010: 465-476 - [c87]Adrien Coulet, Nigam H. Shah, Lawrence Hunter, Chitta Baral, Russ B. Altman:
Extraction of Genotype-Phenotype-Drug Relationships from Text: From Entity Recognition to Bioinformatics Application. Pacific Symposium on Biocomputing 2010: 485-487 - [i8]Siddhartha Jonnalagadda, Luis Tari, Jörg Hakenberg, Chitta Baral, Graciela Gonzalez:
Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text. CoRR abs/1001.4277 (2010) - [i7]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
Logic Programming for Finding Models in the Logics of Knowledge and its Applications: A Case Study. CoRR abs/1007.3700 (2010)
2000 – 2009
- 2009
- [j42]Richard B. Scherl, Tran Cao Son, Chitta Baral:
State-Based Regression with Sensing and Knowledge. Int. J. Softw. Informatics 3(1): 3-30 (2009) - [j41]Tran Hoai Nam, Chitta Baral:
Hypothesizing about signaling networks. J. Appl. Log. 7(3): 253-274 (2009) - [j40]Luis Tari, Chitta Baral, Seungchan Kim:
Fuzzy c-means clustering with prior biological knowledge. J. Biomed. Informatics 42(1): 74-81 (2009) - [j39]Chitta Baral, Michael Gelfond, J. Nelson Rushton:
Probabilistic reasoning with answer sets. Theory Pract. Log. Program. 9(1): 57-144 (2009) - [c86]Chitta Baral, Tran Cao Son, Enrico Pontelli:
Reasoning about Multi-agent Domains Using Action Language C\mathcal{C}: A Preliminary Study. CLIMA 2009: 46-63 - [c85]Juraj Dzifcak, Matthias Scheutz, Chitta Baral, Paul W. Schermerhorn:
What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. ICRA 2009: 4163-4168 - [c84]Chitta Baral, Tran Cao Son, Enrico Pontelli:
Modeling Multi-agent Domains in an Action Languages: An Empirical Study Using . LPNMR 2009: 409-415 - [c83]Siddhartha Jonnalagadda, Luis Tari, Jörg Hakenberg, Chitta Baral, Graciela Gonzalez:
Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text. HLT-NAACL (Short Papers) 2009: 177-180 - [c82]Luis Tari, Jörg Hakenberg, Graciela Gonzalez, Chitta Baral:
Querying Parse Tree Database of Medline Text to Synthesize User-Specific Biomolecular Networks. Pacific Symposium on Biocomputing 2009: 87-98 - 2008
- [j38]Chitta Baral, Thomas Eiter, Marcus Bjäreland, Mutsumi Nakamura:
Maintenance goals of agents in a dynamic environment: Formulation and policy construction. Artif. Intell. 172(12-13): 1429-1469 (2008) - [j37]Marcello Balduccini, Chitta Baral, Boyan Brodaric, Simon Colton, Peter Fox, David Gutelius, Knut Hinkelmann, Ian Horswill, Bernardo A. Huberman, Eva Hudlicka, Kristina Lerman, Christine L. Lisetti, Deborah L. McGuinness, Mary Lou Maher, Mark A. Musen, Mehran Sahami, Derek H. Sleeman, Barbara Thönssen, Juan D. Velásquez, Dan Ventura:
AAAI 2008 Spring Symposia Reports. AI Mag. 29(3): 107-115 (2008) - [c81]Chitta Baral, Jicheng Zhao:
Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals. AAAI 2008: 406-411 - [c80]Chitta Baral, Juraj Dzifcak, Tran Cao Son:
Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions. AAAI 2008: 818-823 - [c79]Marcello Balduccini, Chitta Baral:
Organizing Committee. AAAI Spring Symposium: Emotion, Personality, and Social Behavior 2008 - [c78]Syed Toufeeq Ahmed, Hasan Davulcu, Chitta Baral:
Extracting Protein-Protein Interactions from MEDLINE Using Syntactic Roles. BIBM 2008: 473-476 - [c77]Chitta Baral:
Using Answer Set Programming for Knowledge Representation and Reasoning: Future Directions. ICLP 2008: 69-70 - [c76]Richard B. Scherl, Tran Cao Son, Chitta Baral:
State-Based Regression with Sensing and Knowledge. PRICAI 2008: 345-357 - [r2]Marcello Balduccini, Chitta Baral, Yuliya Lierler:
Knowledge Representation and Question Answering. Handbook of Knowledge Representation 2008: 779-819 - [i6]Chitta Baral, Michael Gelfond, J. Nelson Rushton:
Probabilistic reasoning with answer sets. CoRR abs/0812.0659 (2008) - 2007
- [j36]Tran Hoai Nam, Chitta Baral:
Reasoning about non-immediate triggers in biological networks. Ann. Math. Artif. Intell. 51(2-4): 267-293 (2007) - [j35]Phan Huy Tu, Tran Cao Son, Chitta Baral:
Reasoning and planning with sensing actions, incomplete information, and static causal laws using answer set programming. Theory Pract. Log. Program. 7(4): 377-450 (2007) - [c75]Chitta Baral, Juraj Dzifcak, Luis Tari:
Towards Overcoming the Knowledge Acquisition Bottleneck in Answer Set Prolog Applications: Embracing Natural Language Inputs. ICLP 2007: 1-21 - [c74]Chitta Baral, Jicheng Zhao:
Non-monotonic Temporal Logics for Goal Specification. IJCAI 2007: 236-242 - [c73]Chitta Baral, Matt Hunsaker:
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. IJCAI 2007: 243-249 - [c72]Graciela Gonzalez, Juan C. Uribe, Luis Tari, Colleen Brophy, Chitta Baral:
Mining Gene-Disease Relationships from Biomedical Literature: Weighting Proteinprotein Interactions and Connectivity. Pacific Symposium on Biocomputing 2007: 28-39 - [c71]Luis Tari, Phan Huy Tu, Barry Lumpkin, Robert Leaman, Graciela Gonzalez, Chitta Baral:
Passage Relevancy Through Semantic Relatedness. TREC 2007 - [e2]Chitta Baral, Gerhard Brewka, John S. Schlipf:
Logic Programming and Nonmonotonic Reasoning, 9th International Conference, LPNMR 2007, Tempe, AZ, USA, May 15-17, 2007, Proceedings. Lecture Notes in Computer Science 4483, Springer 2007, ISBN 978-3-540-72199-4 [contents] - 2006
- [j34]Andreas Abecker, Rachid Alami, Chitta Baral, Timothy W. Bickmore, Edmund H. Durfee, Terry Fong, Mehmet H. Göker, Nancy L. Green, Mark Liberman, Christian Lebiere, James H. Martin, Gregoris Mentzas, David J. Musliner, Nicolas Nicolov, Illah R. Nourbakhsh, Franco Salvetti, Daniel G. Shapiro, Debbie Schrekenghost, Amit P. Sheth, Ljiljana Stojanovic, Vytas SunSpiral, Robert E. Wray:
AAAI 2006 Spring Symposium Reports. AI Mag. 27(3): 107-112 (2006) - [j33]Le-Chi Tuan, Chitta Baral, Tran Cao Son:
A State-Based Regression Formulation for Domains with Sensing Actions and Incomplete Information. Log. Methods Comput. Sci. 2(4) (2006) - [j32]Tran Cao Son, Chitta Baral, Tran Hoai Nam, Sheila A. McIlraith:
Domain-dependent knowledge in answer set planning. ACM Trans. Comput. Log. 7(4): 613-657 (2006) - [j31]Xin Zhang, Seungchan Kim, Tie Wang, Chitta Baral:
Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method. IEEE Trans. Signal Process. 54(6-2): 2427-2435 (2006) - [c70]Chitta Baral, Jicheng Zhao:
Goal Specification, Non-Determinism and Quantifying over Policies. AAAI 2006: 231-237 - [c69]Chitta Baral:
Organizing Committee. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006 - [c68]Chitta Baral, Saadat Anwar, Juraj Dzifcak:
Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006: 1-9 - [c67]Chitta Baral, Luis Tari:
Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning. ICIT 2006: 125-128 - [c66]Chitta Baral, Juraj Dzifcak, Hiro Takahashi:
Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming. ICLP 2006: 376-390 - [c65]Enrico Pontelli, Tran Cao Son, Chitta Baral:
A Framework for Composition and Inter-operation of Rules in the Semantic Web. RuleML 2006: 39-50 - [c64]Luis Tari, Graciela Gonzalez, Robert Leaman, Shawn Nikkila, Ryan Wendt, Chitta Baral:
ASU at TREC 2006 Genomics Track. TREC 2006 - [i5]Phan Huy Tu, Tran Cao Son, Chitta Baral:
Reasoning and Planning with Sensing Actions, Incomplete Information, and Static Causal Laws using Answer Set Programming. CoRR abs/cs/0605017 (2006) - [i4]Le-Chi Tuan, Chitta Baral, Tran Cao Son:
A State-Based Regression Formulation for Domains with Sensing Actions and Incomplete Information. CoRR abs/cs/0609111 (2006) - 2005
- [j30]Chitta Baral, Yan Zhang:
Knowledge updates: Semantics and complexity issues. Artif. Intell. 164(1-2): 209-243 (2005) - [j29]Chitta Baral, Tran Hoai Nam:
Representation and Reasoning about Evolutions of the World in the Context of Reasoning about Actions. Stud Logica 79(1): 33-46 (2005) - [j28]Graciela Gonzalez, Chitta Baral, Michael Gelfond:
Alan: An Action Language For Modelling Non-Markovian Domains. Stud Logica 79(1): 115-134 (2005) - [c63]Chitta Baral, Thomas Eiter, Jicheng Zhao:
Using SAT and Logic Programming to Design Polynomial-Time Algorithms for Planning in Non-Deterministic Domains. AAAI 2005: 578-583 - [c62]Tran Hoai Nam, Chitta Baral, Carron Shankland:
Issues in Reasoning about Interaction Networks in Cells: Necessity of Event Ordering Knowledge. AAAI 2005: 676-681 - [c61]Chitta Baral, Michael Gelfond:
Reasoning about Intended Actions. AAAI 2005: 689-694 - [c60]Chitta Baral, Michael Gelfond, Richard B. Scherl:
Answer Set Programming as the Basis for a Homeland Security QAS. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 149-150 - [c59]Xin Zhang, Chitta Baral, Seungchan Kim:
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. AIME 2005: 524-534 - [c58]Luis Tari, Chitta Baral, Saadat Anwar:
A Language for Modular Answer Set Programming: Application to ACC Tournament Scheduling. Answer Set Programming 2005 - [c57]Prabhdeep Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Michael L. Bittner, I. V. Ramakrishnan:
BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. DILS 2005: 19-30 - [c56]Tran Hoai Nam, Chitta Baral, Vinay J. Nagaraj, Lokesh Joshi:
Knowledge-Based Integrative Framework for Hypothesis Formation in Biochemical Networks. DILS 2005: 121-136 - [c55]Chitta Baral, Hasan Davulcu, Mutsumi Nakamura, Prabhdeep Singh, Luis Tari, Lian Yu:
Collaborative Curation of Data from Bio-medical Texts and Abstracts and Its integration. DILS 2005: 309-312 - [c54]Tran Hoai Nam, Chitta Baral, Vinay J. Nagaraj, Lokesh Joshi:
Knowledge-based framework for hypothesis formation in biochemical networks. ECCB/JBI 2005: 219 - [c53]Syed Toufeeq Ahmed, Deepthi Chidambaram, Hasan Davulcu, Chitta Baral:
IntEx: A Syntactic Role Driven Protein-Protein Interaction Extractor for Bio-Medical Text. LBLODMBS@IDMB 2005: 54-61 - [c52]Luis Tari, Chitta Baral, P. Dasgupta:
Understanding the Global Properties of Functionally-Related Gene Networks Using the Gene Ontology. Pacific Symposium on Biocomputing 2005 - [c51]Lian Yu, Syed Toufeeq Ahmed, Graciela Gonzalez, Brendan Logsdon, Mutsumi Nakamura, Shawn Nikkila, Kalpesh Shah, Luis Tari, Ryan Wendt, Amanda Zeigler, Chitta Baral:
Genomic Information Retrieval Through Selective Extraction and Tagging by the ASU-BioAL Group. TREC 2005 - [e1]Chitta Baral, Gianluigi Greco, Nicola Leone, Giorgio Terracina:
Logic Programming and Nonmonotonic Reasoning, 8th International Conference, LPNMR 2005, Diamante, Italy, September 5-8, 2005, Proceedings. Lecture Notes in Computer Science 3662, Springer 2005, ISBN 3-540-28538-5 [contents] - [r1]Chitta Baral, Michael Gelfond:
Logic Programming and Reasoning about Actions. Handbook of Temporal Reasoning in Artificial Intelligence 2005: 389-426 - 2004
- [c50]Tran Cao Son, Chitta Baral, Le-Chi Tuan:
Adding Time and Intervals to Procedural and Hierarchical Control Specifications. AAAI 2004: 92-97 - [c49]Tran Hoai Nam, Chitta Baral:
Encoding Probabilistic Causal Model in Probabilistic Action Language. AAAI 2004: 305-310 - [c48]Le-Chi Tuan, Chitta Baral, Xin Zhang, Tran Cao Son:
Regression with Respect to Sensing Actions and Partial States. AAAI 2004: 556-561 - [c47]Chitta Baral, Thomas Eiter:
A Polynomial Time Algorithm for Constructing k-Maintainable Policies. ICAPS 2004: 111-121 - [c46]Chitta Baral, Jicheng Zhao:
Goal Specification in Presence of Non-Deterministic Actions. ECAI 2004: 273-277 - [c45]Chitta Baral, Karen Chancellor, Tran Hoai Nam, Nhan Tran, Anna M. Joy, Michael E. Berens:
A knowledge based approach for representing and reasoning about signaling networks. ISMB/ECCB (Supplement of Bioinformatics) 2004: 15-22 - [c44]Tran Hoai Nam, Chitta Baral:
Reasoning about Triggered Actions in AnsProlog and Its Application to Molecular Interactions in Cells. KR 2004: 554-564 - [c43]Chitta Baral, Thomas Eiter:
A Polynomial-Time Algorithm for Constructing k-Maintainable Policies. KR 2004: 720-730 - [c42]Chitta Baral, Michael Gelfond, J. Nelson Rushton:
Probabilistic Reasoning With Answer Sets. LPNMR 2004: 21-33 - [c41]Tran Cao Son, Phan Huy Tu, Chitta Baral:
Planning with Sensing Actions and Incomplete Information Using Logic Programming. LPNMR 2004: 261-274 - [i3]Le-Chi Tuan, Chitta Baral, Tran Cao Son:
Regression with respect to sensing actions and partial states. CoRR cs.AI/0405071 (2004) - 2003
- [j27]Chitta Baral, Alessandro Provetti, Tran Cao Son:
Introduction to the special issue on Programming with Answer Sets. Theory Pract. Log. Program. 3(4-5): 387-391 (2003) - [c40]Chitta Baral, Karen Chancellor, Tran Hoai Nam, Nhan Tran:
Representing and reasoning about signal networks: an illustration using NF\kappaB dependent signaling pathways. CSB 2003: 623-628 - 2002
- [j26]M. Brian Blake, Karen Zita Haigh, Henry Hexmoor, Rino Falcone, Leen-Kiat Soh, Chitta Baral, Sheila A. McIlraith, Piotr J. Gmytrasiewicz, Simon Parsons, Rainer Malaka, Antonio Krüger, Paolo Bouquet, Bill Smart, Koichi Kurumantani, Adam Pease, Michael Brenner, Marie desJardins, Ulrich Junker, James P. Delgrande, Jon Doyle, Francesca Rossi, Torsten Schaub, Carla P. Gomes, Toby Walsh, Haipeng Guo, Eric Horvitz, Nancy Ide, Christopher A. Welty, Frank D. Anger, Hans W. Guesgen, Gérard Ligozat:
AAAI 2002 Workshops. AI Mag. 23(4): 113-121 (2002) - [c39]Chitta Baral, Tran Hoai Nam, Le-Chi Tuan:
Reasoning about Actions in a Probabilistic Setting. AAAI/IAAI 2002: 507-512 - [c38]Chitta Baral, Yan Zhang:
The Complexity of Model Checking for Knowledge Update. KR 2002: 82-96 - [c37]Chitta Baral, Tran Cao Son, Le-Chi Tuan:
A Transition Function Based Characterization of Actions with Delayed and Continuous Effects. KR 2002: 291-302 - [c36]Graciela Gonzalez, Chitta Baral, Peter A. Cooper:
Modeling Multimedia Displays Using Action Based Temporal Logic. VDB 2002: 141-155 - [i2]Tran Cao Son, Chitta Baral, Tran Hoai Nam, Sheila A. McIlraith:
Domain-Dependent Knowledge in Answer Set Planning. CoRR cs.AI/0207023 (2002) - 2001
- [j25]Tran Cao Son, Chitta Baral:
Formalizing sensing actions A transition function based approach. Artif. Intell. 125(1-2): 19-91 (2001) - [j24]Goce Trajcevski, Chitta Baral, Jorge Lobo:
Formalizing and Reasoning About the Requirements Specifications of Workflow Systems. Int. J. Cooperative Inf. Syst. 10(4): 483-507 (2001) - [j23]Raul Trejo, Joel Galloway, Charanjiv Sachar, Vladik Kreinovich, Chitta Baral, Le-Chi Tuan:
From Planning to Searching for the Shortest Plan: An Optimal Transition. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(6): 827-837 (2001) - [c35]Tran Cao Son, Chitta Baral, Sheila A. McIlraith:
Extending Answer Set Planning with Sequence, Conditional, Loop, Non-Deterministic Choice, and Procedure Constructs. Answer Set Programming 2001 - [c34]Le-Chi Tuan, Chitta Baral:
Effect of knowledge representation on model based planning: experiments using logic programming encodings. Answer Set Programming 2001 - [c33]Chitta Baral, Yan Zhang:
On the Semantics of Knowledge Update. IJCAI 2001: 97-102 - [c32]Chitta Baral, Vladik Kreinovich, Raul Trejo:
Computational Complexity of Planning with Temporal Goals. IJCAI 2001: 509-514 - [c31]Chitta Baral, Cenk Uyan:
Declarative Specification and Solution of Combinatorial Auctions Using Logic Programming. LPNMR 2001: 186-199 - [c30]Tran Cao Son, Chitta Baral, Sheila A. McIlraith:
Planning with Different Forms of Domain-Dependent Control Knowledge - An Answer Set Programming Approach. LPNMR 2001: 226-239 - 2000
- [j22]Chitta Baral:
Abductive reasoning through filtering. Artif. Intell. 120(1): 1-28 (2000) - [j21]Chitta Baral, Vladik Kreinovich, Raul Trejo:
Computational complexity of planning and approximate planning in the presence of incompleteness. Artif. Intell. 122(1-2): 241-267 (2000) - [c29]Mutsumi Nakamura, Chitta Baral, Marcus Bjäreland:
Maintainability: A Weaker Stabilizability Like Notion for High Level Control. AAAI/IAAI 2000: 62-67 - [c28]Raul Trejo, Vladik Kreinovich, Chitta Baral:
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods. AAAI/IAAI 2000: 545-550 - [c27]Chitta Baral, Le-Chi Tuan, Raul Trejo, Vladik Kreinovich:
Computational Complexity of Planning Based on Partial Information about the System's Present and Past States. Computational Logic 2000: 882-896 - [c26]Mutsumi Nakamura, Chitta Baral:
Invariance, Maintenance, and Other Declarative Objectives of Triggers - A Formal Characterization of Active Databases. Computational Logic 2000: 1210-1224 - [c25]Goce Trajcevski, Chitta Baral, Jorge Lobo:
Formalizing (and Reasoning About) the Specifications of Workflows. CoopIS 2000: 1-17 - [c24]Chitta Baral, Sheila A. McIlraith, Tran Cao Son:
Formulating diagnostic problem solving using an action language with narratives and sensing. KR 2000: 311-322 - [i1]Chitta Baral, Miroslaw Truszczynski:
Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000. CoRR cs.AI/0003073 (2000)
1990 – 1999
- 1999
- [c23]Chitta Baral, Tran Cao Son:
Extending ConGolog to Allow Partial Ordering. ATAL 1999: 188-204 - [c22]Chitta Baral, Graciela Gonzalez:
Specifying Generic Multimedia 3D Visualizations and Temporal Presentations from Database Queries. ICMCS, Vol. 1 1999: 550-555 - [c21]Chitta Baral, Vladik Kreinovich, Raul Trejo:
Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness. IJCAI 1999: 948-955 - 1998
- [j20]Chitta Baral, Alfredo Gabaldon, Alessandro Provetti:
Value Minimization in Circumscription. Artif. Intell. 102(2): 163-186 (1998) - [j19]Chitta Baral, Alfredo Gabaldon, Alessandro Provetti:
Formalizing Narratives Using Nested Circumscription. Artif. Intell. 104(1-2): 107-164 (1998) - [j18]Chitta Baral, Tran Cao Son:
Relating Theories of Actions and Reactive Control. Electron. Trans. Artif. Intell. 2: 211-271 (1998) - [j17]Chitta Baral, Michael Gelfond, Olga Kosheleva:
Expanding Queries to Incomplete Databases by Interpolating General Logic Programs. J. Log. Program. 35(3): 195-230 (1998) - [j16]Robert P. Goldman, Chitta Baral:
Robots, softbots, immobots: The 1997 AAAI Workshop on Theories of Action, Planning and Control. Knowl. Eng. Rev. 13(2): 179-184 (1998) - [j15]Chitta Baral, Graciela Gonzalez, Tran Cao Son:
Conceptual Modeling and Querying in Multimedia Databases. Multim. Tools Appl. 7(1/2): 37-66 (1998) - [c20]Chitta Baral, Luis Floriano, Aaron Hardesty, David Morales, Monica L. Nogueira, Tran Cao Son:
From Theory to Practice: The UTEP Robot in the AAAI 96 AAAI 97 Robot Contests. Agents 1998: 32-38 - [c19]Chitta Baral, Graciela Gonzalez, Tran Cao Son:
Design and Implementation of Display Specification for Multimedia Answers. ICDE 1998: 558-565 - [c18]Chitta Baral, Graciela Gonzalez, Amarendra Nandigam:
SQL+D: Extended Display Capabilities for Multimedia Database Queries. ACM Multimedia 1998: 109-114 - 1997
- [j14]Chitta Baral, Vladik Kreinovich, Vladimir Lifschitz:
Introduction: Logic Programming, Non-Monotonic Reasoning and Reasoning about Actions. Ann. Math. Artif. Intell. 21(2-4): 129 (1997) - [j13]Chitta Baral:
Relating Logic Programming Theories of Actions and Partial Order Planning. Ann. Math. Artif. Intell. 21(2-4): 131-151 (1997) - [j12]Chitta Baral:
Embedding Revision Programs in Logic Programming Situation Calculus. J. Log. Program. 30(1): 83-97 (1997) - [j11]Chitta Baral, Michael Gelfond:
Reasoning About Effects of Concurrent Actions. J. Log. Program. 31(1-3): 85-117 (1997) - [j10]Chitta Baral, Michael Gelfond, Alessandro Provetti:
Representing Actions: Laws, Observations and Hypotheses. J. Log. Program. 31(1-3): 201-243 (1997) - [c17]Chitta Baral, Jorge Lobo:
From Action Theories to Updates, Transactions, Triggers and Agents - A Tutorial. DOOD 1997: 26-32 - [c16]Chitta Baral, Jorge Lobo, Goce Trajcevski:
Formal Characterizations of Active Databases: Part II. DOOD 1997: 247-264 - [c15]Chitta Baral, Jorge Lobo:
Defeasible Specifications in Action Theories. IJCAI 1997: 1441-1446 - [c14]Chitta Baral, Tran Cao Son:
Approximate Reasoning about Actions in Presence of Sensing and Incomplete Information. ILPS 1997: 387-401 - 1996
- [c13]Chitta Baral, Alfredo Gabaldon, Alessandro Provetti:
Formalizing Narratives Using Nested Circumscription. AAAI/IAAI, Vol. 1 1996: 652-657 - [c12]Chitta Baral, Luis Floriano, Alfredo Gabaldon, David Morales, Tran Cao Son, Richard G. Watson:
A Reactive Mobile Robot Based on a Formal Theory of Action. AAAI/IAAI, Vol. 2 1996: 1350 - [c11]Chitta Baral, Alfredo Gabaldon, Alessandro Provetti:
Value Minimization in Circumscription. KR 1996: 474-481 - [c10]Chitta Baral, Jorge Lobo:
Formal Characterization of Active Databases. Logic in Databases 1996: 175-195 - 1995
- [c9]Chitta Baral:
Reasoning about actions: Non-deterministic effects, Constraints, and Qualification. IJCAI 1995: 2017-2026 - 1994
- [j9]Chitta Baral:
Varying Selection Functions to Relate Conditional Logics and Preferential Models. Fundam. Informaticae 21(4): 307-319 (1994) - [j8]Chitta Baral, Sarit Kraus, Jack Minker, V. S. Subrahmanian:
Combining Default Logic Databases. Int. J. Cooperative Inf. Syst. 3(3): 319-348 (1994) - [j7]Chitta Baral, Michael Gelfond:
Logic Programming and Knowledge Representation. J. Log. Program. 19/20: 73-148 (1994) - [c8]Chitta Baral:
Rule Based Updates on Simple Knowledge Bases. AAAI 1994: 136-141 - 1993
- [j6]C. V. Ramamoorthy, Daniel E. Cooke, Chitta Baral:
Maintaining the Truth of Specifications in Evolutionary Software. Int. J. Artif. Intell. Tools 2(1): 15-32 (1993) - [j5]Chitta Baral, V. S. Subrahmanian:
Dualities Between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning. J. Autom. Reason. 10(3): 399-420 (1993) - [c7]Chitta Baral, Michael Gelfond:
Representing Concurrent Actions in Extended Logic Programming. IJCAI 1993: 866-873 - [c6]Chitta Baral, Michael Gelfond, Olga Kosheleva:
Approximating General Logic Programs. ILPS 1993: 181-198 - 1992
- [j4]Chitta Baral, Jorge Lobo, Jack Minker:
Generalized Disjunctive Well-Founded Semantics for Logic Programs. Ann. Math. Artif. Intell. 5(2-4): 89-131 (1992) - [j3]Chitta Baral, Sarit Kraus, Jack Minker, V. S. Subrahmanian:
Combining Knowledge Bases Consisting of First-Order Analysis. Comput. Intell. 8: 45-71 (1992) - [j2]Chitta Baral, V. S. Subrahmanian:
Stable and Extension Class Theory for Logic Programs and Default Logics. J. Autom. Reason. 8(3): 345-366 (1992) - [c5]Chitta Baral:
Generalized Negation As Failure and Semantics of Normal Disjunctive Logic Programs. LPAR 1992: 309-319 - 1991
- [j1]Chitta Baral, Sarit Kraus, Jack Minker:
Combining Multiple Knowledge Bases. IEEE Trans. Knowl. Data Eng. 3(2): 208-220 (1991) - [c4]Chitta Baral, Sarit Kraus, Jack Minker, V. S. Subrahmanian:
Combining Knowledge Bases Consisting of First Order Theories. ISMIS 1991: 92-101 - [c3]Chitta Baral, Jorge Lobo, Jack Minker:
WF³: A Semantics for Negation in Normal Disjunctive Logic Programs. ISMIS 1991: 459-468 - [c2]Chitta Baral, V. S. Subrahmanian:
Dualities between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning (Extended Abstract). LPNMR 1991: 69-86 - 1990
- [c1]Chitta Baral, Jorge Lobo, Jack Minker:
Generalized Well-founded Semantics for Logic Programs (Extended Abstract). CADE 1990: 102-116
Coauthor Index
[c197] [i125] [j56] [c187] [c186] [c185] [c184] [c183] [i119] [i118] [i107] [i102] [i101] [c176] [c174] [c173] [c172] [c171] [c170] [c169] [c168] [c167] [c162] [c160] [i96] [i95] [i93] [i92] [i91] [i89] [i88] [i87] [i86] [i85] [i84] [i83] [i81] [i78] [i76] [i75] [i74] [i73] [i72] [c156] [c155] [i62] [i60] [i59] [i55] [i44] [i43] [i42] [i41] [i40] [i26]
Shailaja Sampat
aka: Shailaja Keyur Sampat
aka: Shailaja Keyur Sampat
[c207] [c203] [c202] [c201] [c200] [c199] [c198] [i137] [i135] [i134] [i133] [i130] [i121] [c189] [c181] [i109] [i108] [i98] [c179] [c177] [c166] [c164] [i90] [i82] [i80] [i71] [i69] [i68] [i67] [c159] [c157] [c151] [c149] [i63] [i58] [i53] [c146] [c144] [c143] [c142] [i50] [i48] [i45] [i38] [i36] [i35] [c135] [c134] [c132] [i30] [i29] [j52] [c131] [c129] [i22] [i21] [i19] [c120] [i16]
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