| 2026 | ACL | VEG: Verbal ε-greedy for Semantic Exploration in Multi-Turn RL Agents. | Yongchang Hao, Jie Hao, Yongsheng Mei, Ze Ye, Junyi Chai, Bin Guo, Benjamin Z. Yao, Chenlei Guo, Lili Mou |
| 2026 | EACL | Ultra-Low-Dimensional Prompt Tuning via Random Projection. | Zijun Wu, Yongchang Hao, Lili Mou |
| 2025 | COLING | Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models. | Jiahui Li, Yongchang Hao, Haoyu Xu, Xing Wang, Yu Hong |
| 2025 | ICLR | Radar: Fast Long-Context Decoding for Any Transformer. | Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung |
| 2024 | COLING | LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. | Dongheng Li, Yongchang Hao, Lili Mou |
| 2024 | ICML | Flora: Low-Rank Adapters Are Secretly Gradient Compressors. | Yongchang Hao, Yanshuai Cao, Lili Mou |
| 2023 | ICLR | An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. | Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou |
| 2022 | ACL | Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. | Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu |
| 2021 | NAACL | Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. | Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang |