Irene Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang |
| 2026 | ACL | MED-COREASONER: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning. | Fan Gao, Sherry T. Tong, Jiwoong Sohn, Jiahao Huang, Junfeng Jiang, Ding Xia, Piyalitt Ittichaiwong, Kanyakorn Veerakanjana, Hyunjae Kim, Qingyu Chen, Edison Marrese-Taylor, Kazuma Kobayashi, Akiko Aizawa, Irene Li |
| 2026 | EACL | Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning. | Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li |
| 2026 | EACL | JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human risky health behavior Content in Jirai Community. | Yunze Xiao, Tingyu He, Lionel Z. Wang, Yiming Ma, Xingyu Song, Xiaohang Xu, Mona T. Diab, Irene Li, Ka Chung Ng |
| 2025 | ACL | GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. | Yingjian Chen, Haoran Liu, Yinhong Liu, Jinxiang Xie, Rui Yang, Han Yuan, Yanran Fu, Peng Yuan Zhou, Qingyu Chen, James Caverlee, Irene Li |
| 2025 | AIME | 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 |
| 2025 | CIKM | 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, Irene Li |
| 2025 | CIKM | Untitled record | Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park, Irene Li |
| 2025 | EMNLP | MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. | Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li |
| 2025 | EMNLP | ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA. | Xinjie Zhao, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang, Yanran Fu, Yuyang Wang, Yusuke Iwasawa, Yutaka Matsuo, Irene Li |
| 2025 | RecSys | EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models. | Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li |
| 2025 | WWW | 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 Lcu, Jinghui Lu, Irene Li |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | CIKM | 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 |
| 2024 | EACL | Better Explain Transformers by Illuminating Important Information. | Linxin Song, Yan Cui, Ao Luo, Freddy Lcu, Irene Li |
| 2024 | RecSys | EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. | Irene Li, Ruihai Dong, Lei Li, Li Chen |
| 2023 | AAAI | Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. | Aosong Feng, Irene Li, Yuang Jiang, Rex Ying |
| 2023 | ACL | HiPool: Modeling Long Documents Using Graph Neural Networks. | Irene Li, Aosong Feng, Dragomir Radev, Rex Ying |
| 2023 | RecSys | ✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. | Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li |
| 2022 | ACL | Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution. | Irene Li, Linfeng Song, Kun Xu, Dong Yu |
| 2022 | LREC | Surfer100: Generating Surveys From Web Resources, Wikipedia-style. | Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev |
| 2021 | ACL | Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. | Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev |
| 2020 | COLING | R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. | Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev |
| 2020 | SGAI | 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 lvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura |
| 2019 | AAAI | 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 |
| 2019 | AAAI | ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. | Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev |
| 2019 | ACL | Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. | Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev |
| 2019 | ACL | SParC: Cross-Domain Semantic Parsing in Context. | 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 |
| 2018 | ACL | 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 |
| 2018 | EMNLP | Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. | 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 |