Hao Peng

49 papers A* 6A 2B 1Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Paradoxical Interference between Instruction-Following and Task Solving.
CoRR
Yunjia Qi, Hao Peng, Xintong Shi, Amy Xin, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2026 J jnl
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures.
CoRR
Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan
2026 J jnl
WildReward: Learning Reward Models from In-the-Wild Human Interactions.
CoRR
Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Lei Hou, Juanzi Li
2025 J jnl
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios.
CoRR
Yunjia Qi, Hao Peng, Xiaozhi Wang, Amy Xin, Youfeng Liu, Bin Xu, Lei Hou, Juanzi Li
2025 A* conf
Advancing LLM Reasoning Generalists with Preference Trees.
ICLR
Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
2025 — conf
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems.
ACL (1)
Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Bin Xu, Lei Hou, Juanzi Li
2025 J jnl
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems.
CoRR
Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Bin Xu, Lei Hou, Juanzi Li
2025 A conf
Constraint Back-translation Improves Complex Instruction Following of Large Language Models.
CIKM
Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2025 — conf
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.
ACL (1)
Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2025 B conf
MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction.
COLING
Yong Guan, Hao Peng, Lei Hou, Juanzi Li
2025 J jnl
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark.
CoRR
Shengkun Ma, Hao Peng, Lei Hou, Juanzi Li
2025 — conf
Pre-training Distillation for Large Language Models: A Design Space Exploration.
ACL (1)
Hao Peng, Xin Lv, Yushi Bai, Zijun Yao, Jiajie Zhang, Lei Hou, Juanzi Li
2025 A conf
StoryWriter: A Multi-Agent Framework for Long Story Generation.
CIKM
Haotian Xia, Hao Peng, Yunjia Qi, Bin Xu, Juanzi Li, Lei Hou, Xiaozhi Wang
2025 J jnl
StoryWriter: A Multi-Agent Framework for Long Story Generation.
CoRR
Haotian Xia, Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2025 A* conf
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following.
EMNLP
Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2025 J jnl
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following.
CoRR
Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2024 A* conf
ADELIE: Aligning Large Language Models on Information Extraction.
EMNLP
Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2024 J jnl
ADELIE: Aligning Large Language Models on Information Extraction.
CoRR
Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2024 J jnl
Constraint Back-translation Improves Complex Instruction Following of Large Language Models.
CoRR
Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
2024 — conf
Event GDR: Event-Centric Generative Document Retrieval.
WWW (Companion Volume)
Yong Guan, Dingxiao Liu, Jinchen Ma, Hao Peng, Xiaozhi Wang, Lei Hou, Ru Li
2024 J jnl
Event GDR: Event-Centric Generative Document Retrieval.
CoRR
Yong Guan, Dingxiao Liu, Jinchen Ma, Hao Peng, Xiaozhi Wang, Lei Hou, Ru Li
2024 J jnl
Event-level Knowledge Editing.
CoRR
Hao Peng, Xiaozhi Wang, Chunyang Li, Kaisheng Zeng, Jiangshan Duo, Yixin Cao, Lei Hou, Juanzi Li
2024 A* conf
KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
ICLR
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
2024 J jnl
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.
CoRR
Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2024 — conf
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
ACL (1)
Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li
2024 — conf
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset.
EMNLP (Findings)
Chunyang Li, Hao Peng, Xiaozhi Wang, Yunjia Qi, Lei Hou, Bin Xu, Juanzi Li
2024 J jnl
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset.
CoRR
Chunyang Li, Hao Peng, Xiaozhi Wang, Yunjia Qi, Lei Hou, Bin Xu, Juanzi Li
2024 J jnl
OpenEP: Open-Ended Future Event Prediction.
CoRR
Yong Guan, Hao Peng, Xiaozhi Wang, Lei Hou, Juanzi Li
2024 J jnl
Pre-training Distillation for Large Language Models: A Design Space Exploration.
CoRR
Hao Peng, Xin Lv, Yushi Bai, Zijun Yao, Jiajie Zhang, Lei Hou, Juanzi Li
2023 J jnl
KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
CoRR
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
2023 J jnl
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
CoRR
Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li
2023 — conf
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.
EMNLP (Demos)
Hao Peng, Xiaozhi Wang, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, Juanzi Li
2023 J jnl
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.
CoRR
Hao Peng, Xiaozhi Wang, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, Juanzi Li
2023 J jnl
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation.
Expert Syst. Appl.
Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao
2023 — conf
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation.
ACL (Findings)
Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen
2023 J jnl
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation.
CoRR
Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen
2023 J jnl
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR
Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li
2022 J jnl
A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems.
CoRR
Zhijian Ou, Junlan Feng, Juanzi Li, Yakun Li, Hong Liu, Hao Peng, Yi Huang, Jiangjiang Zhao
2022 A* conf
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models.
EMNLP
Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu
2022 J jnl
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models.
CoRR
Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu
2022 J jnl
Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset.
CoRR
Hong Liu, Hao Peng, Zhijian Ou, Juanzi Li, Yi Huang, Junlan Feng
2022 A* conf
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
EMNLP
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
2022 J jnl
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
CoRR
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
2022 J jnl
Multimodal Entity Tagging with Multimodal Knowledge Base.
CoRR
Hao Peng, Hang Li, Lei Hou, Juanzi Li, Chao Qiao
2021 J jnl
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation.
CoRR
Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao
2020 — conf
Learning from Context or Names? An Empirical Study on Neural Relation Extraction.
EMNLP (1)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
2020 J jnl
Learning from Context or Names? An Empirical Study on Neural Relation Extraction.
CoRR
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
2020 — conf
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
AACL/IJCNLP
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
2020 J jnl
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
CoRR
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou