Learning from Context or Names? An Empirical Study on Neural Relation Extraction. - Hao Peng 015; Tianyu Gao 001; Xu Han 007; Yankai Lin; Peng Li 030; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (1), 2020)

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. - Xu Han 007; Tianyu Gao 001; Yankai Lin; Hao Peng 015; Yaoliang Yang; Chaojun Xiao; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016; Maosong Sun 001 (AACL/IJCNLP, 2020)

TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (CoRR, 2021)

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. - Hao Peng 015; Xiaozhi Wang; Shengding Hu; Hailong Jin; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Qun Liu 001 (EMNLP, 2022)

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. - Xiaozhi Wang; Yulin Chen; Ning Ding 002; Hao Peng 015; Zimu Wang; Yankai Lin; Xu Han 007; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016 (EMNLP, 2022)

Multimodal Entity Tagging with Multimodal Knowledge Base. - Hao Peng 015; Hang Li; Lei Hou 001; Juanzi Li; Chao Qiao (CoRR, 2022)

A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems. - Zhijian Ou; Junlan Feng; Juanzi Li; Yakun Li; Hong Liu 024; Hao Peng 015; Yi Huang 017; Jiangjiang Zhao (CoRR, 2022)

Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset. - Hong Liu 024; Hao Peng 015; Zhijian Ou; Juanzi Li; Yi Huang 017; Junlan Feng (CoRR, 2022)

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. - Hao Peng 015; Xiaozhi Wang; Feng Yao; Kaisheng Zeng; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Weixing Shen (ACL (Findings), 2023)

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding. - Hao Peng 015; Xiaozhi Wang; Feng Yao; Zimu Wang; Chuzhao Zhu; Kaisheng Zeng; Lei Hou 001; Juanzi Li (EMNLP (Demos), 2023)

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks. - Hao Peng 015; Xiaozhi Wang; Jianhui Chen; Weikai Li 002; Yunjia Qi; Zimu Wang; Zhili Wu; Kaisheng Zeng; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2023)

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (Expert Syst. Appl., 2023)

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. - Xiaozhi Wang; Hao Peng 015; Yong Guan; Kaisheng Zeng; Jianhui Chen; Lei Hou 001; Xu Han 007; Yankai Lin; Zhiyuan Liu 001; Ruobing Xie; Jie Zhou 016; Juanzi Li (ACL (1), 2024)

MAVEN-FACT: A Large-scale Event Factuality Detection Dataset. - Chunyang Li; Hao Peng 015; Xiaozhi Wang; Yunjia Qi; Lei Hou 001; Bin Xu 001; Juanzi Li (EMNLP (Findings), 2024)

ADELIE: Aligning Large Language Models on Information Extraction. - Yunjia Qi; Hao Peng 015; Xiaozhi Wang; Bin Xu 001; Lei Hou 001; Juanzi Li (EMNLP, 2024)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models. - Jifan Yu; Xiaozhi Wang; Shangqing Tu; Shulin Cao; Daniel Zhang-Li; Xin Lv; Hao Peng 015; Zijun Yao 002; Xiaohan Zhang; Hanming Li; Chunyang Li; Zheyuan Zhang; et al. (ICLR, 2024)

Event GDR: Event-Centric Generative Document Retrieval. - Yong Guan; Dingxiao Liu; Jinchen Ma; Hao Peng 015; Xiaozhi Wang; Lei Hou 001; Ru Li 001 (WWW (Companion Volume), 2024)

Event-level Knowledge Editing. - Hao Peng 015; Xiaozhi Wang; Chunyang Li; Kaisheng Zeng; Jiangshan Duo; Yixin Cao 002; Lei Hou 001; Juanzi Li (CoRR, 2024)

OpenEP: Open-Ended Future Event Prediction. - Yong Guan; Hao Peng 015; Xiaozhi Wang; Lei Hou 001; Juanzi Li (CoRR, 2024)

Constraint Back-translation Improves Complex Instruction Following of Large Language Models. - Yunjia Qi; Hao Peng 015; Xiaozhi Wang; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2024)

Pre-training Distillation for Large Language Models: A Design Space Exploration. - Hao Peng 015; Xin Lv; Yushi Bai; Zijun Yao 002; Jiajie Zhang; Lei Hou 001; Juanzi Li (ACL (1), 2025)

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems. - Hao Peng 015; Yunjia Qi; Xiaozhi Wang; Zijun Yao 002; Bin Xu 001; Lei Hou 001; Juanzi Li (ACL (1), 2025)

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. - Yushi Bai; Shangqing Tu; Jiajie Zhang; Hao Peng 015; Xiaozhi Wang; Xin Lv; Shulin Cao; Jiazheng Xu; Lei Hou 001; Yuxiao Dong; Jie Tang 001; Juanzi Li (ACL (1), 2025)

MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction. - Yong Guan; Hao Peng 015; Lei Hou 001; Juanzi Li (COLING, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark. - Shengkun Ma; Hao Peng 015; Lei Hou 001; Juanzi Li (CoRR, 2025)

AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios. - Yunjia Qi; Hao Peng 015; Xiaozhi Wang; Amy Xin; Youfeng Liu; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2025)

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following. - Hao Peng 015; Yunjia Qi; Xiaozhi Wang; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2025)

StoryWriter: A Multi-Agent Framework for Long Story Generation. - Haotian Xia; Hao Peng 015; Yunjia Qi; Xiaozhi Wang; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2025)