Publications

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;

arXiv, 2025, demo

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;

arXiv, 2025, demo

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, Irene Li, Ka Chung Ng;

Disclaimer: This paper describes human self-destructive content and potentially harmful behaviors including drug overdoese, eating disorders, and self-harming actions that may be disturbing to some readers.

arXiv, 2025, data request 

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering

Feiyang Li, Yingjian Chen, Haoran Liu, Rui Yang, Han Yuan, Yuang Jiang, Tianxiao Li, Edison Marrese Taylor, Hossein Rouhizadeh, Yusuke Iwasawa, Douglas Teodoro, Yutaka Matsuo, Irene Li;

arXiv, 2025, demo

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation

Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Yun Xing, Junjue Wang, Huitao Li, Xin Li, Kunyu Yu, Nan Liu, Qingyu Chen, Douglas Teodoro, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li; 

arXiv, 2025, data, website

ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA

Zhao Xinjie, Fan Gao, Rui Yang, Yingjian Chen, Yuyang Wang, Ying Zhu, Jiacheng Tang, Irene Li;

arXiv, 2025

GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking

Yingjian Chen, Haoran Liu, Yinhong Liu, Rui Yang, Han Yuan, Yanran Fu, Pengyuan Zhou, Qingyu Chen, James Caverlee, Irene Li;

arXiv, 2025

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective 

Rui Yang, Boming Yang, Xinjie Zhao, Fan Gao, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lecue, Jinghui Lu, Irene Li;

NLP4KGC, WWW 2025, code 

Rethinking Domain-specific Pre-training by Supervised or Self-supervised Learning for Chest Radiograph Classification: A Comparative Study against ImageNet Counterparts in Cold-start Active Learning 

Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong;

Health Care Science, 2025

Large Language Models Struggle to Encode Medical Concepts-A Multilingual Benchmarking and Comparative Analysis

Hossein Rouhizadeh, Anthony Yazdani, Boya Zhang, David Vicente Alvarez, Matthias Hueser, Alexandre Vanobberghen, Rui Yang, Irene Li, Andreas Walter, Douglas Teodoro;

medRxiv, 2025

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

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! ⭐️)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation

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