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ORCIDMaria Chang 0001
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- affiliation: IBM Research, Yorktown Heights, NY, USA
Other persons with the same name
- Maria Chang 0002 — Children's Hospital Boston, Boston, MA, USA
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2020 – today
- 2024
[c21]Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos:
CHRONOS: A Schema-Based Event Understanding and Prediction System. AAAI 2024: 22871-22877- [i11]Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney:
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR abs/2403.09704 (2024) - [i10]Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy, Maria Chang, Moninder Singh:
Reasoning about concepts with LLMs: Inconsistencies abound. CoRR abs/2405.20163 (2024) - 2022
- [c20]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 2022: 3866-3879 - [c19]Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. ICDM 2022: 618-627 - [i9]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR abs/2201.05793 (2022) - [i8]Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. CoRR abs/2209.09114 (2022) - 2021
- [c18]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 2021: 3884-3894 - [c17]Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma
, Rosario Uceda-Sosa:
STONE: Signal Temporal Logic Neural Network for Time Series Classification. ICDM (Workshops) 2021: 778-787 - [i7]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR abs/2109.13430 (2021) - 2020
- [c16]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 2020: 8074-8081 - [i6]Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR abs/2012.01707 (2020)
2010 – 2019
- 2019
- [c15]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215 - [c14]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC 2019 - [c13]Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163 - [i5]Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock:
High-Fidelity Vector Space Models of Structured Data. CoRR abs/1901.02565 (2019) - [i4]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR abs/1911.02060 (2019) - 2018
- [c12]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL 2018: 60-70 - [c11]Jae-wook Ahn, Maria Chang, Patrick Watson, Ravi Tejwani, Sharad Sundararajan, Tamer Abuelsaad, Srijith Prabhu:
Adaptive Visual Dialog for Intelligent Tutoring Systems. AIED (2) 2018: 413-418 - [c10]Matthew Ventura, Maria Chang, Peter W. Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John T. Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal:
Preliminary Evaluations of a Dialogue-Based Digital Tutor. AIED (2) 2018: 480-483 - [c9]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
An Interface for Annotating Science Questions. EMNLP (Demonstration) 2018: 102-107 - [c8]Bob Schloss, Maria D. Chang, Aditya Vempaty, Arup Acharya, Ravindranath Kokku, Lorin Wilde, Nirmal Mukhi:
Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents. ICLS 2018 - [c7]Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock:
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) 2018 - [c6]Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan:
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects. WWW (Companion Volume) 2018: 299-303 - [i3]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR abs/1806.00358 (2018) - [i2]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018) - [i1]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR abs/1809.05726 (2018) - 2017
- [j3]Kenneth D. Forbus, Maria Chang, Matthew D. McLure, Jeffrey M. Usher:
The Cognitive Science of Sketch Worksheets. Top. Cogn. Sci. 9(4): 921-942 (2017) - [j2]Bridget Garnier, Maria Chang, Carol Ormand, Bryan J. Matlen, Basil Tikoff, Thomas F. Shipley:
Promoting Sketching in Introductory Geoscience Courses: CogSketch Geoscience Worksheets. Top. Cogn. Sci. 9(4): 943-969 (2017) - [c5]Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu:
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering. AIED 2017: 630-635 - 2014
- [j1]Maria D. Chang, Kenneth D. Forbus:
Using Analogy to Cluster Hand-Drawn Sketches for Sketch-Based Educational Software. AI Mag. 35(1): 76- (2014) - [c4]Maria de los Angeles Chang:
Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison. AAAI 2014: 3067-3068 - [c3]Maria D. Chang, Jon William Wetzel, Kenneth D. Forbus:
Spatial Reasoning in Comparative Analyses of Physics Diagrams. Spatial Cognition 2014: 268-282 - 2013
- [c2]Maria de los Angeles Chang, Kenneth D. Forbus:
Clustering Hand-Drawn Sketches via Analogical Generalization. IAAI 2013: 1507-1512 - 2012
- [c1]Maria de los Angeles Chang, Kenneth D. Forbus:
Using Quantitative Information to Improve Analogical Matching Between Sketches. IAAI 2012: 2269-2274
Coauthor Index
aka: Achille Fokoue-Nkoutche
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