Publications
2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yu He Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo and Irene Li;
2024
Leveraging Large Language Models for Learning Complex Legal Concepts Through Storytelling
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Jad Kabbara and Deb Roy;
2024
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lecue, Jinghui Lu and Irene Li;
2024, Github
Better Explain Transformers by Illuminating Important Information
Linxin Song, Yan Cui, Ao Luo, Freddy Lecue and Irene Li;
Findings, EACL 2024
⚕️Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D Dave, Tiarnan D.L. Keenan, Emily Y Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen and Irene Li;
2024, Github
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 and Irene Li;
2023
Sequence-to-sequence Text Generation with Coupled Diffusion Process
Boming Yang, Ansong Feng and Zihui Li;
2023
A UMLS-Augmented Framework for Improving Factuality in Large Language Models within Healthcare
Rui Yang, Edison Marrese-Taylor, Yuhe Ke, Lechao Cheng, Qingyu Chen and Irene Li;
arXiv, 2023
NLPBench: Evaluating Large Language Models on Solving NLP Problems
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou and Irene Li;
Instruction Workshop @ NeurIPS, 2023
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods
Irene Li and Boming Yang;
DL4KG Workshop @ ISWC, 2023
Evaluating Large Language Models on Wikipedia-Style Survey Generation
Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Dairui Liu, Tianwei She, Yuang Jiang and Irene Li;
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
Irene Li, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser and Dragomir Radev;
arXiv, 2023
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
Linyao Chen, Aosong Feng, Boming Yang and Zihui Li;
arXiv, 2023
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Boming Yang, Dairui Liu, Ruihai Dong and Irene Li;
Recsys 2023 (Best Student Paper Award! ⭐️)
Topic-Centric Explanations for News Recommendation
Dairui Liu, Derek Greene, Irene Li and Ruihai Dong;
Journal Submission, 2023 (under review)
Irene Li, Thomas George, Alexander Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire and Dragomir Radev;
BEA workshop @ ACL, 2023
HiPool: Modeling Long Documents Using Graph Neural Networks
Irene Li, Aosong Feng, Dragomir Radev and Rex Ying;
ACL, 2023
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
Aosong Feng, Irene Li, Yuang Jiang and Rex Ying;
AAAI, 2023
2022
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlalı, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz and Dragomir Radev;
Computer Science Review, volume 46, 2022
Surfer100: Generating Surveys From Web Resources, Wikipedia-style
Irene Li, Alexander Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev;
LREC, 2022
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li, Aosong Feng, Tianxiao Li, Hao Wu, Toyotaro Suzumura and Ruihai Dong;
DLG4NLP Workshop, NAACL 2022.
Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution
Irene Li, Linfeng Song, Kun Xu and Dong Yu;
ACL, 2022.