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Irene Li
ORCID
Publication Activity (10 Years)
Years Active: 2010-2024
Publications (10 Years): 55
Top Topics
Transfer Learning
News Recommendation
Language Model
Annotated Corpus
Top Venues
CoRR
ACL (1)
AAAI
EMNLP
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Publications
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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)
Linxin Song
,
Yan Cui
,
Ao Luo
,
Freddy Lécué
,
Irene Li
Better Explain Transformers by Illuminating Important Information.
EACL (Findings)
(2024)
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
(2024)
Linxin Song
,
Yan Cui
,
Ao Luo
,
Freddy Lécué
,
Irene Li
Better Explain Transformers by Illuminating Important Information.
CoRR
(2024)
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
(2024)
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
(2024)
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
(2024)
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)
Linxin Song
,
Jieyu Zhang
,
Lechao Cheng
,
Pengyuan Zhou
,
Tianyi Zhou
,
Irene Li
NLPBench: Evaluating Large Language Models on Solving NLP Problems.
CoRR
(2023)
Irene Li
,
Aosong Feng
,
Dragomir Radev
,
Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks.
ACL (2)
(2023)
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
(2023)
Irene Li
,
Aosong Feng
,
Dragomir Radev
,
Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks.
CoRR
(2023)
Dairui Liu
,
Derek Greene
,
Irene Li
,
Ruihai Dong
Topic-Centric Explanations for News Recommendation.
CoRR
(2023)
Aosong Feng
,
Irene Li
,
Yuang Jiang
,
Rex Ying
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.
AAAI
(2023)
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)
Irene Li
,
Boming Yang
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods.
DL4KG@ISWC
(2023)
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
(2023)
Boming Yang
,
Dairui Liu
,
Toyotaro Suzumura
,
Ruihai Dong
,
Irene Li
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.
RecSys
(2023)
Boming Yang
,
Dairui Liu
,
Toyotaro Suzumura
,
Ruihai Dong
,
Irene Li
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.
CoRR
(2023)
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
(2023)
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
(2023)
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
(2022)
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 (2022)
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)
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
(2022)
Irene Li
,
Linfeng Song
,
Kun Xu
,
Dong Yu
Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution.
ACL (1)
(2022)
Aosong Feng
,
Irene Li
,
Yuang Jiang
,
Rex Ying
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences.
CoRR
(2022)
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
(2021)
Irene Li
,
Vanessa Yan
,
Dragomir R. Radev
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains.
CoRR
(2021)
Irene Li
Detecting Bias in Transfer Learning Approaches for Text Classification.
CoRR
(2021)
Irene Li
,
Vanessa Yan
,
Tianxiao Li
,
Rihao Qu
,
Dragomir R. Radev
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders.
CoRR
(2021)
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
(2021)
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)
Irene Li
,
Tianxiao Li
,
Yixin Li
,
Ruihai Dong
,
Toyotaro Suzumura
Heterogeneous Graph Neural Networks for Multi-label Text Classification.
CoRR
(2021)
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)
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
(2021)
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
(2020)
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
(2020)
Irene Li
,
Alexander R. Fabbri
,
Swapnil Hingmire
,
Dragomir R. Radev
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.
CoRR
(2020)
Irene Li
,
Alexander R. Fabbri
,
Swapnil Hingmire
,
Dragomir R. Radev
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.
COLING
(2020)
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)
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)
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
(2019)
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
(2019)
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)
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)
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
(2019)
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)
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
(2019)
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
(2018)
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)
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
(2018)
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
(2018)
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)
Mark Hughes
,
Irene Li
,
Spyros Kotoulas
,
Toyotaro Suzumura
Medical Text Classification using Convolutional Neural Networks.
CoRR
(2017)
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) (2010)