| 2024 | EMNLP | ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. | Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | KDD | Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | SIGIR | Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2023 | EMNLP | PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. | Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi |
| 2023 | EMNLP | Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. | Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi |
| 2023 | ICCV | Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. | Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li |