Hu, Baotian

11 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

ICML 2024 VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang

AAAI 2023 Improving Biomedical Entity Linking with Cross-Entity Interaction Zhenran Xu, Yulin Chen, Baotian Hu

IJCAI 2023 PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang

IJCAI 2022 Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang

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

AAAI 2018 Learning to Extract Coherent Summary via Deep Reinforcement Learning Yuxiang Wu, Baotian Hu

NeurIPS 2014 Convolutional Neural Network Architectures for Matching Natural Language Sentences Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen