| 2026 | AAAI | Selective Weak-to-Strong Generalization. | Hao Lang, Fei Huang, Yongbin Li |
| 2026 | ACL | Understanding Generalization in Role-Playing Models via Information Theory. | Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li |
| 2026 | ACL | Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions. | Yongqi Li, Hao Lang, Tieyun Qian, Yongbin Li |
| 2025 | AAAI | Debate Helps Weak-to-Strong Generalization. | Hao Lang, Fei Huang, Yongbin Li |
| 2024 | COLING | Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment. | Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li |
| 2024 | COLING | Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts. | Hao Lang, Yinhe Zheng, Binyuan Hui, Fei Huang, Yongbin Li |
| 2024 | NAACL | Fine-Tuning Language Models with Reward Learning on Policy. | Hao Lang, Fei Huang, Yongbin Li |
| 2023 | ACL | Domain Incremental Lifelong Learning in an Open World. | Yi Dai, Hao Lang, Yinhe Zheng, Bowen Yu, Fei Huang, Yongbin Li |
| 2023 | ACL | Long-Tailed Question Answering in an Open World. | Yi Dai, Hao Lang, Yinhe Zheng, Fei Huang, Yongbin Li |
| 2023 | EMNLP | Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection. | Yi Dai, Hao Lang, Kaisheng Zeng, Fei Huang, Yongbin Li |
| 2022 | EMNLP | Estimating Soft Labels for Out-of-Domain Intent Detection. | Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2010 | CIKM | Improved latent concept expansion using hierarchical markov random fields. | Hao Lang, Donald Metzler, Bin Wang, Jin-Tao Li |
| 2008 | ECIR | An Evaluation and Analysis of Incorporating Term Dependency for Ad-Hoc Retrieval. | Hao Lang, Bin Wang, Gareth J. F. Jones, Jintao Li, Yang Xu |