A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence. - Jeff J. S. Huang; Stephen J. H. Yang; Jeng Y. L. Chen; Irene Li; Indy Y. T. Hsiao (Int. J. Organ. Collect. Intell., 2010)

Medical Text Classification using Convolutional Neural Networks. - Mark Hughes; Irene Li; Spyros Kotoulas; Toyotaro Suzumura (CoRR, 2017)

TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. - Alexander R. Fabbri; Irene Li; Prawat Trairatvorakul; Yijiao He; Wei Tai Ting; Robert Tung; Caitlin Westerfield; Dragomir R. Radev (ACL (1), 2018)

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. - Tao Yu 009; Rui Zhang 037; Kai Yang; Michihiro Yasunaga; Dongxu Wang; Zifan Li; James Ma; Irene Li; Qingning Yao; Shanelle Roman; Zilin Zhang; Dragomir R. Radev (EMNLP, 2018)

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. - Irene Li; Alexander R. Fabbri; Robert R. Tung; Dragomir R. Radev (AAAI, 2019)

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Michihiro Yasunaga; Jungo Kasai; Rui Zhang 037; Alexander R. Fabbri; Irene Li; Dan Friedman; Dragomir R. Radev (AAAI, 2019)

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. - Alexander R. Fabbri; Irene Li; Tianwei She; Suyi Li 002; Dragomir R. Radev (ACL (1), 2019)

SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. - Irene Li; Michihiro Yasunaga; Muhammed Yavuz Nuzumlali; Cesar Caraballo; Shiwani Mahajan; Harlan M. Krumholz; Dragomir R. Radev (CoRR, 2019)

R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. - Irene Li; Alexander R. Fabbri; Swapnil Hingmire; Dragomir R. Radev (COLING, 2020)

What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing. - Irene Li; Yixin Li; Tianxiao Li; Sergio Álvarez-Napagao; Dario Garcia-Gasulla; Toyotaro Suzumura (SGAI Conf., 2020)

What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing. - Irene Li; Yixin Li; Tianxiao Li; Sergio Álvarez-Napagao; Darío García (CoRR, 2020)

Global Data Science Project for COVID-19 Summary Report. - 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; et al. (CoRR, 2020)

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. - Irene Li; Vanessa Yan; Tianxiao Li; Rihao Qu; Dragomir R. Radev (ACL/IJCNLP (2), 2021)

Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. - Irene Li; Prithviraj Sen; Huaiyu Zhu 001; Yunyao Li 001; Dragomir R. Radev (RepL4NLP@ACL-IJCNLP, 2021)

Detecting Bias in Transfer Learning Approaches for Text Classification. - Irene Li (CoRR, 2021)

Heterogeneous Graph Neural Networks for Multi-label Text Classification. - Irene Li; Tianxiao Li; Yixin Li; Ruihai Dong; Toyotaro Suzumura (CoRR, 2021)

Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. - Irene Li; Vanessa Yan; Dragomir R. Radev (CoRR, 2021)

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Swapnil Hingmire; Irene Li; Rena Kawamura; Benjamin Chen; Alexander R. Fabbri; Xiangru Tang; Yixin Liu 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (CoRR, 2021)

Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution. - Irene Li; Linfeng Song; Kun Xu 005; Dong Yu 001 (ACL (1), 2022)

Surfer100: Generating Surveys From Web Resources, Wikipedia-style. - Irene Li; Alexander R. Fabbri; Rina Kawamura; Yixin Liu 003; Xiangru Tang; Jaesung Tae; Chang Shen; Sally Ma; Tomoe Mizutani; Dragomir Radev (LREC, 2022)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir R. Radev (CoRR, 2022)

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. - Irene Li; Keen You; Xiangru Tang; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Dragomir R. Radev (CoRR, 2022)

Neural Natural Language Processing for unstructured data in electronic health records: A review. - Irene Li; Jessica Pan; Jeremy Goldwasser; Neha Verma 001; Wai Pan Wong; Muhammed Yavuz Nuzumlali; Benjamin Rosand; Yixin Li; Matthew Zhang; David Chang; Richard Andrew Taylor; Harlan M. Krumholz; et al. (Comput. Sci. Rev., 2022)

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. - Aosong Feng; Irene Li; Yuang Jiang; Rex Ying (AAAI, 2023)

HiPool: Modeling Long Documents Using Graph Neural Networks. - Irene Li; Aosong Feng; Dragomir Radev; Rex Ying (ACL (2), 2023)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir Radev (BEA@ACL, 2023)

NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods. - Irene Li; Boming Yang (DL4KG@ISWC, 2023)

✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. - Boming Yang; Dairui Liu; Toyotaro Suzumura; Ruihai Dong; Irene Li (RecSys, 2023)

Topic-Centric Explanations for News Recommendation. - Dairui Liu; Derek Greene; Irene Li; Ruihai Dong (CoRR, 2023)

Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. - Boming Yang; Dairui Liu; Toyotaro Suzumura; Ruihai Dong; Irene Li (CoRR, 2023)

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts. - Fan Gao; Hang Jiang; Moritz Blum; Jinghui Lu; Yuang Jiang; Irene Li (CoRR, 2023)

NLPBench: Evaluating Large Language Models on Solving NLP Problems. - Linxin Song; Jieyu Zhang 001; Lechao Cheng; Pengyuan Zhou; Tianyi Zhou 001; Irene Li (CoRR, 2023)

Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. - Rui Yang 016; Edison Marrese-Taylor; Yuhe Ke; Lechao Cheng; Qingyu Chen 001; Irene Li (CoRR, 2023)

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. - Rui Yang 016; 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; et al. (CoRR, 2023)

RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models. - Dairui Liu; Boming Yang; Honghui Du; Derek Greene; Aonghus Lawlor; Ruihai Dong; Irene Li (CoRR, 2023)

Evaluating Large Language Models on Wikipedia-Style Survey Generation. - Fan Gao; Hang Jiang; Rui Yang; Qingcheng Zeng; Jinghui Lu; Moritz Blum; Tianwei She; Yuang Jiang; Irene Li (ACL (Findings), 2024)

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. - Hang Jiang; Xiajie Zhang; Robert Mahari; Daniel T. Kessler; Eric Ma; Tal August; Irene Li; Alex Pentland; Yoon Kim; Deb K. Roy; Jad Kabbara (ACL (1), 2024)

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. - Rui Yang 016; Haoran Liu; Edison Marrese-Taylor; Qingcheng Zeng; Yuhe Ke; Wanxin Li; Lechao Cheng; Qingyu Chen 001; James Caverlee; Yutaka Matsuo; Irene Li (BioNLP@ACL, 2024)

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. - Dairui Liu; Boming Yang; Honghui Du; Derek Greene; Neil Hurley; Aonghus Lawlor; Ruihai Dong; Irene Li (CIKM, 2024)

Better Explain Transformers by Illuminating Important Information. - Linxin Song; Yan Cui; Ao Luo; Freddy Lécué; Irene Li (EACL (Findings), 2024)

EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. - Irene Li; Ruihai Dong; Lei Li 042; Li Chen 009 (RecSys, 2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. - Rui Yang 016; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. - Rui Yang; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data. - Xinjie Zhao; Moritz Blum; Rui Yang; Boming Yang; Luis Marquez-Carpintero; Monica Pina-Navarro; Tony Wang; Xin Li; Huitao Li; Yanran Fu; Rongrong Wang; Juntao Zhang; et al. (CoRR, 2024)

Transformers4NewsRec: A Transformer-based News Recommendation Framework. - Dairui Liu; Honghui Du; Boming Yang; Neil Hurley; Aonghus Lawlor; Irene Li; Derek Greene; Ruihai Dong (CoRR, 2024)

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective. - Rui Yang; Boming Yang; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. - Yingjian Chen; Haoran Liu; Yinhong Liu; Jinxiang Xie; Rui Yang 016; Han Yuan; Yanran Fu; Peng Yuan Zhou; Qingyu Chen 001; James Caverlee; Irene Li (ACL (1), 2025)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs. - Yingjian Chen; Feiyang Li; Xingyu Song; Tianxiao Li; Zixin Xu; Xiujie Chen; Issey Sukeda; Irene Li (SLM4Health@AIME, 2025)

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. - Rui Yang 016; Boming Yang; Xinjie Zhao 004; Fan Gao; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (WWW (Companion Volume), 2025)

GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. - Yingjian Chen; Haoran Liu; Yinhong Liu; Rui Yang 016; Han Yuan; Yanran Fu; Pengyuan Zhou; Qingyu Chen 001; James Caverlee; Irene Li (CoRR, 2025)

ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA. - Xinjie Zhao; Fan Gao; Rui Yang; Yingjian Chen; Yuyang Wang; Ying Zhu; Jiacheng Tang; Irene Li (CoRR, 2025)

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. - Weihao Xuan; Rui Yang 016; Heli Qi; Qingcheng Zeng; Yunze Xiao; Yun Xing; Junjue Wang; Huitao Li; Xin Li 079; Kunyu Yu; Nan Liu 003; Qingyu Chen 001; et al. (CoRR, 2025)

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering. - Feiyang Li; Yingjian Chen; Haoran Liu; Rui Yang 016; Han Yuan; Yuang Jiang; Tianxiao Li; Edison Marrese-Taylor; Hossein Rouhizadeh; Yusuke Iwasawa; Douglas Teodoro; Yutaka Matsuo; et al. (CoRR, 2025)

JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community. - Yunze Xiao; Tingyu He; Lionel Z. Wang; Yiming Ma; Xingyu Song; Xiaohang Xu 002; Irene Li; Ka Chung Ng (CoRR, 2025)

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models. - Fan Gao; Xinjie Zhao; Ding Xia; Zhongyi Zhou; Rui Yang; Jinghui Lu; Hang Jiang; Chanjun Park; Irene Li (CoRR, 2025)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. - Rui Yang 016; Huitao Li; Matthew Yu Heng Wong; Yuhe Ke; Xin Li 079; Kunyu Yu; Jingchi Liao; Jonathan Chong Kai Liew; Sabarinath Vinod Nair; Jasmine Chiat Ling Ong; Irene Li; Douglas Teodoro; et al. (CoRR, 2025)

Topic-Centric Explanations for News Recommendation. - Dairui Liu; Derek Greene; Irene Li; Xuefei Jiang; Ruihai Dong (Trans. Recomm. Syst., 2025)

Benchmarking Foundation Models with Multimodal Public Electronic Health Records. - Kunyu Yu; Rui Yang 016; Jingchi Liao; Siqi Li 004; Huitao Li; Irene Li; Yifan Peng; Rishikesan Kamaleswaran; Nan Liu 003 (CoRR, 2025)

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. - Xinjie Zhao; Moritz Blum; Fan Gao; Yingjian Chen; Boming Yang; Luis Marquez-Carpintero; Monica Pina-Navarro; Yanran Fu; So Morikawa; Yusuke Iwasawa; Yutaka Matsuo; Chanjun Park; et al. (CoRR, 2025)

VeriGUI: Verifiable Long-Chain GUI Dataset. - Shunyu Liu 001; Minghao Liu 003; Huichi Zhou; Zhenyu Cui; Yang Zhou; Yuhao Zhou; Wendong Fan; Ge Zhang 009; Jiajun Shi; Weihao Xuan; Jiaxing Huang 001; Shuang Luo; et al. (CoRR, 2025)

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. - Weitao Jia; Jinghui Lu; Haiyang Yu; Siqi Wang; Guozhi Tang; An-Lan Wang; Weijie Yin; Dingkang Yang; Yuxiang Nie; Bin Shan; Hao Feng 009; Irene Li; et al. (CoRR, 2025)