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2020 – today
- 2024
[c22]Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li:
Evaluating Large Language Models on Wikipedia-Style Survey Generation. ACL (Findings) 2024: 5405-5418- [c21]Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara:
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. ACL (1) 2024: 7194-7219 - [c20]Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li:
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. BioNLP@ACL 2024: 155-166 - [c19]Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li:
Better Explain Transformers by Illuminating Important Information. EACL (Findings) 2024: 2048-2062 - [c18]Irene Li
, Ruihai Dong, Lei Li, Li Chen:
EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. RecSys 2024: 1262-1264 - [i34]Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li:
Better Explain Transformers by Illuminating Important Information. CoRR abs/2401.09972 (2024) - [i33]Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. CoRR abs/2402.14293 (2024) - [i32]Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex 'Sandy' Pentland, Yoon Kim, Jad Kabbara, Deb Roy:
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. CoRR abs/2402.17019 (2024) - [i31]Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li:
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. CoRR abs/2403.05881 (2024) - [i30]Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. CoRR abs/2407.10794 (2024) - 2023
- [c17]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI 2023: 12772-12780 - [c16]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) 2023: 161-171 - [c15]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL 2023: 29-43 - [c14]Irene Li, Boming Yang:
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods. DL4KG@ISWC 2023 - [c13]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. RecSys 2023: 24-34 - [i29]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR abs/2305.03319 (2023) - [i28]Dairui Liu, Derek Greene, Irene Li, Ruihai Dong:
Topic-Centric Explanations for News Recommendation. CoRR abs/2306.07506 (2023) - [i27]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. CoRR abs/2307.06576 (2023) - [i26]Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li:
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts. CoRR abs/2308.10410 (2023) - [i25]Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li:
NLPBench: Evaluating Large Language Models on Solving NLP Problems. CoRR abs/2309.15630 (2023) - [i24]Rui Yang, Edison Marrese-Taylor, Yuhe Ke, Lechao Cheng, Qingyu Chen, Irene Li:
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. CoRR abs/2310.02778 (2023) - [i23]Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D. Dave, Tiarnan D. L. Keenan, Emily Y. Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li:
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR abs/2311.16588 (2023) - [i22]Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li:
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models. CoRR abs/2312.10463 (2023) - 2022
- [j2]Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir Radev:
Neural Natural Language Processing for unstructured data in electronic health records: A review. Comput. Sci. Rev. 46: 100511 (2022) - [c12]Irene Li, Linfeng Song, Kun Xu, Dong Yu:
Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution. ACL (1) 2022: 2790-2800 - [c11]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - [i21]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR abs/2201.02312 (2022) - [i20]Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Dragomir R. Radev:
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. CoRR abs/2204.06604 (2022) - [i19]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR abs/2210.11794 (2022) - 2021
- [c10]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. ACL/IJCNLP (2) 2021: 1005-1011 - [c9]Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev:
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. RepL4NLP@ACL-IJCNLP 2021: 1-7 - [i18]Irene Li:
Detecting Bias in Transfer Learning Approaches for Text Classification. CoRR abs/2102.02114 (2021) - [i17]Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura:
Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR abs/2103.14620 (2021) - [i16]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. CoRR abs/2105.03505 (2021) - [i15]Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir R. Radev:
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review. CoRR abs/2107.02975 (2021) - [i14]Irene Li, Vanessa Yan, Dragomir R. Radev:
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. CoRR abs/2109.08722 (2021) - [i13]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i12]Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - 2020
- [c8]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. COLING 2020: 1147-1157 - [c7]Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura:
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing. SGAI Conf. 2020: 358-370 - [i11]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. CoRR abs/2004.10610 (2020) - [i10]Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Darío García:
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing. CoRR abs/2004.10899 (2020) - [i9]Dario Garcia-Gasulla, Sergio Álvarez-Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel Pérez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li:
Global Data Science Project for COVID-19 Summary Report. CoRR abs/2006.05573 (2020)
2010 – 2019
- 2019
- [c6]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. AAAI 2019: 6674-6681 - [c5]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI 2019: 7386-7393 - [c4]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. ACL (1) 2019: 1074-1084 - [c3]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [i8]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. CoRR abs/1906.01749 (2019) - [i7]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i6]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR abs/1909.01716 (2019) - [i5]Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev:
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. CoRR abs/1910.14076 (2019) - 2018
- [c2]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL (1) 2018: 611-620 - [c1]Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. EMNLP 2018: 3911-3921 - [i4]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. CoRR abs/1805.04617 (2018) - [i3]Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. CoRR abs/1809.08887 (2018) - [i2]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. CoRR abs/1811.12181 (2018) - 2017
- [i1]Mark Hughes, Irene Li, Spyros Kotoulas, Toyotaro Suzumura:
Medical Text Classification using Convolutional Neural Networks. CoRR abs/1704.06841 (2017) - 2010
- [j1]Jeff J. S. Huang, Stephen J. H. Yang, Jeng Y. L. Chen, Irene Li, Indy Y. T. Hsiao:
A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence. Int. J. Organ. Collect. Intell. 1(2): 83-95 (2010)
Coauthor Index
aka: Dragomir Radev
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last updated on 2024-10-23 21:26 CEST by the dblp team
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