Li, Dongfang

6 publications

AAAI 2025 CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

NeurIPS 2024 In-Context Learning State Vector with Inner and Momentum Optimization Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

NeurIPS 2024 SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

AAAI 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang

AAAI 2022 Diaformer: Automatic Diagnosis via Symptoms Sequence Generation Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

AAAI 2022 Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang