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Hongbang Yuan

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
2024 · Zhuoran Jin, Pengfei Cao, et al. · neural information processing systems · 10
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Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
2024 · Zhuoran Jin, Pengfei Cao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 8
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Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
2025 · Hongbang Yuan, Zhuoran Jin, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 7
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Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
2024 · Hongbang Yuan, Pengfei Cao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge
2022 · Zhuoran Jin, Tianyi Men, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 3
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AWeCita: Generating Answer with Appropriate and Well-grained Citations Using LLMs
2024 · Suifeng Zhao, Tong Zhou, et al. · Data Intelligence · 2
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RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
2025 · Zhuoran Jin, Hongbang Yuan, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding
2022 · Zhuoran Jin, Tianyi Men, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 1
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Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks
2026 · Yuan, Hongbang, Jin, Zhuoran, et al. · arXiv (Cornell University)
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SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs
2026 · Zhu, Kejian, Jin, Zhuoran, et al. · arXiv (Cornell University)
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Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
2026 · Zhu, Kejian, Jin, Zhuoran, et al. · arXiv (Cornell University)
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Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
2026 · Jin, Zhuoran, Zhu, Kejian, et al. · arXiv (Cornell University)
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Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
2026 · Li, Jiachun, Jin, Zhuoran, et al. · arXiv (Cornell University)
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Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
2026 · Association for Computational Linguistics 2026, Cao, Pengfei, et al. · Underline Science Inc.
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
2026 · Zhuoran Jin, Kejian Zhu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
2025 · Zhu, Kejian, Jin, Zhuoran, et al. · arXiv (Cornell University)
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Mitigating Multi-hop Hallucination in Large Language Models with Non-authoritative Knowledge Sources
2025 · Hongbang Yuan, Pengfei Cao, et al. · Communications in computer and information science
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
2025 · Hongbang Yuan, Yubo Chen, et al. · Findings of the Association for Computational Linguistics: NAACL
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Works count: 24
Citation count: 37
H-index: 4
I10-index: 1
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