Publications
See also: Google Scholar, DBLP
Open-source Codes
Preprints / In Submission
[arXiv] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales. [code] [webpage] Zhepei Wei, Wei-Lin Chen, Yu Meng.
[In Submission] Fast and Accurate Language Model Decoding via Parallel Token Processing Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng.
[In Submission] Self-Alignment Optimization for Language Models Shangjian Yin, Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Yu Meng.
Conference Papers
[ICLR 2024] Incentivized Truthful Communication for Federated Bandits. Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang.
[NeurIPS 2023] Incentivized Communication for Federated Bandits. Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang.
Before PhD Journey
[EMNLP 2022] Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang.
[AACL-IJCNLP 2022] Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang.
[IJCAI-ECAI 2022] AttExplainer: Explain Transformer via Attention by Reinforcement Learning. [code] Runliang Niu, Zhepei Wei, Yan Wang, Qi Wang.
[AKBC 2021 USKB workshop] CogKG: Unifying Symbolic and Continuous Knowledge Representations for Machine Reasoning. Zhepei Wei, Yue Wang, Jinnan Li, Yingqi Guo, Zhining Liu, Erxin Yu, Yi Chang.
[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. [code] Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang.
[arXiv 2019] Jointly Modeling Hierarchical and Horizontal Features for Relational Triple Extraction Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Sujian Li, Mark Steedman, Yi Chang.
[ICA 2018] Autonomous Agents in Snake Game via Deep Reinforcement Learning. [code] Zhepei Wei, Di Wang, Ming Zhang, Ah-Hwee Tan, Chunyan Miao, You Zhou.
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