| 2026 | ACL | Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models. | Xiaomeng Hu, Yixuan Tang, Haoze Li, Hao Chen, Qi Zhang, Zhanming Shen, Yiming Zhang, Haobo Wang, Junbo Zhao |
| 2025 | AAAI | Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models. | Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho |
| 2025 | ACL | ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models. | Hao Chen, Haoze Li, Zhiqing Xiao, Lirong Gao, Qi Zhang, Xiaomeng Hu, Ningtao Wang, Xing Fu, Junbo Zhao |
| 2025 | EMNLP | CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency. | Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao |
| 2025 | EMNLP | LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization. | Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao |
| 2024 | EMNLP | Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. | Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao |
| 2022 | IROS | Multi-Objective Geometric Optimization of A Multi-Link Manipulator Using Parameterized Design Method. | Xiaomeng Hu, Weiwei Wan, Liang Du, Jianjun Yuan, Shugen Ma |
| 2022 | SIGIR | P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. | Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu |