Hongbang Yuan

According to our database, Hongbang Yuan authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality.

Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen

CoRR, June, 2025

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos.

Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

CoRR, June, 2025

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.

Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.

Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.

Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

AWeCita: Generating Answer with Appropriate and Well-grained Citations Using LLMs.

Suifeng Zhao, Tong Zhou, Zhuoran Jin, Hongbang Yuan, Yubo Chen, Kang Liu, Sujian Li

Data Intell., 2024

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.

Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

CoRR, 2024

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.

Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao

CoRR, 2024

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.

Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.

Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.

Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.

Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge.

Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022