Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. - Xu Han 007; Pengfei Yu 001; Zhiyuan Liu 001; Maosong Sun 001; Peng Li 030 (EMNLP, 2018)

FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. - Xu Han 007; Hao Zhu 006; Pengfei Yu 001; Ziyun Wang; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2018)

Tracking of Enriched Dialog States for Flexible Conversational Information Access. - Yinpei Dai; Zhijian Ou; Dawei Ren; Pengfei Yu 001 (ICASSP, 2018)

MUSE: Illustrating Textual Attributes by Portrait Generation. - Xiaodan Hu; Pengfei Yu 001; Kevin Knight; Heng Ji 001; Bo Li 026; Honghui Shi (CoRR, 2020)

Lifelong Event Detection with Knowledge Transfer. - Pengfei Yu 001; Heng Ji 001; Prem Natarajan (EMNLP (1), 2021)

MUSE: Textual Attributes Guided Portrait Painting Generation. - Xiaodan Hu; Pengfei Yu 001; Kevin Knight; Heng Ji 001; Bo Li 026; Honghui Shi (MIPR, 2021)

COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System. - Manling Li; Revanth Gangi Reddy; Ziqi Wang 003; Yi-Shyuan Chiang; Tuan Manh Lai; Pengfei Yu 001; Zixuan Zhang; Heng Ji 001 (ACL (demo), 2022)

Unlearning Bias in Language Models by Partitioning Gradients. - Charles Yu; Sullam Jeoung; Anish Kasi; Pengfei Yu 001; Heng Ji 001 (ACL (Findings), 2023)

Shorten the Long Tail for Rare Entity and Event Extraction. - Pengfei Yu 001; Heng Ji 001 (EACL, 2023)

Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction. - Pengfei Yu 001; Jonathan May; Heng Ji 001 (EACL (Findings), 2023)

Defining a New NLP Playground. - Sha Li; Chi Han; Pengfei Yu 001; Carl Edwards; Manling Li; Xingyao Wang 002; Yi Ren Fung 001; Charles Yu; Joel R. Tetreault; Eduard H. Hovy; Heng Ji 001 (EMNLP (Findings), 2023)

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought. - Tianci Xue; Ziqi Wang 003; Zhenhailong Wang; Chi Han; Pengfei Yu 001; Heng Ji 001 (CoRR, 2023)

Self Information Update for Large Language Models through Mitigating Exposure Bias. - Pengfei Yu 001; Heng Ji 001 (CoRR, 2023)

Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production. - Kexuan Xin; Qingyun Wang 005; Junyu Chen; Pengfei Yu 001; Huimin Zhao 007; Heng Ji 001 (BIBM, 2024)

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation. - Jiateng Liu; Pengfei Yu 001; Yuji Zhang 002; Sha Li; Zixuan Zhang; Ruhi Sarikaya; Kevin Small; Heng Ji 001 (EMNLP, 2024)

Why Does New Knowledge Create Messy Ripple Effects in LLMs? - Jiaxin Qin; Zixuan Zhang; Chi Han; Pengfei Yu 001; Manling Li; Heng Ji 001 (EMNLP, 2024)

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries. - Jiateng Liu; Pengfei Yu 001; Yuji Zhang 002; Sha Li; Zixuan Zhang; Heng Ji 001 (CoRR, 2024)

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models. - Yuji Zhang 002; Sha Li; Jiateng Liu; Pengfei Yu 001; Yi R. Fung 001; Jing Li 049; Manling Li; Heng Ji 001 (CoRR, 2024)

The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination. - Yuji Zhang 002; Sha Li; Cheng Qian 008; Jiateng Liu; Pengfei Yu 001; Chi Han; Yi R. Fung 001; Kathleen McKeown; ChengXiang Zhai; Manling Li; Heng Ji 001 (ACL (Findings), 2025)