Hongbang Yuan

19 papers A* 3Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
What Do LLM Agents Know About Their World? Task2Quiz: A Paradigm for Studying Environment Understanding.
CoRR
Siyuan Liu, Hongbang Yuan, Xinze Li, Ziyue Zhu, Yixin Cao, Yu-Gang Jiang
2025 — conf
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
NAACL (Findings)
Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu
2025 J jnl
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos.
CoRR
Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences.
CoRR
Zhuoran Jin, Hongbang Yuan, Kejian Zhu, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
ACL (Findings)
Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2025 J jnl
RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality.
CoRR
Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
2025 A* conf
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
AAAI
Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
AWeCita: Generating Answer with Appropriate and Well-grained Citations Using LLMs.
Data Intell.
Suifeng Zhao, Tong Zhou, Zhuoran Jin, Hongbang Yuan, Yubo Chen, Kang Liu, Sujian Li
2024 J jnl
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
CoRR
Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao
2024 — conf
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
ACL (Findings)
Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2024 J jnl
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
CoRR
Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2024 J jnl
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
CoRR
Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.
NeurIPS
Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.
CoRR
Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
CoRR
Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
EMNLP
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 J jnl
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
CoRR
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2022 — conf
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge.
ACL (demo)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao
2022 — conf
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.
EMNLP (Demos)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao