| 2024 | ACL | How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. | Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | ACL | MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. | Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou |
| 2024 | ACL | Speculative Contrastive Decoding. | Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou |
| 2024 | ICLR | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. | Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou |
| 2024 | NAACL | Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. | Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | NAACL | Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2023 | ACL | HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2022 | NAACL | Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning. | Hongyi Yuan, Zheng Yuan, Sheng Yu |