Big Data Image Classification Based on Distributed Deep Representation Learning Model. - Minjun Zhu; Qinghua Chen (IEEE Access, 2020)

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation. - Minjun Zhu; Bin Li 083; Yixuan Weng; Fei Xia (DialDoc@ACL, 2022)

Learning to Answer Complex Visual Questions from Multi-View Analysis. - Minjun Zhu; Yixuan Weng; Shizhu He; Kang Liu 001; Jun Zhao 001 (CCKS (Evaluation Track), 2022)

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains. - Minjun Zhu; Yixuan Weng; Shizhu He; Kang Liu 001; Jun Zhao 001 (CoRR, 2022)

Large Language Models are reasoners with Self-Verification. - Yixuan Weng; Minjun Zhu; Shizhu He; Kang Liu 001; Jun Zhao 001 (CoRR, 2022)

Large Language Models are Better Reasoners with Self-Verification. - Yixuan Weng; Minjun Zhu; Fei Xia; Bin Li 083; Shizhu He; Shengping Liu; Bin Sun 001; Kang Liu 001; Jun Zhao 001 (EMNLP (Findings), 2023)

Learning to Build Reasoning Chains by Reliable Path Retrieval. - Minjun Zhu; Yixuan Weng; Shizhu He; Cunguang Wang; Kang Liu 001; Li Cai; Jun Zhao 001 (ICASSP, 2023)

Neural Comprehension: Language Models with Compiled Neural Networks. - Yixuan Weng; Minjun Zhu; Fei Xia; Bin Li 083; Shizhu He; Kang Liu 001; Jun Zhao 001 (CoRR, 2023)

Large Language Models Need Holistically Thought in Medical Conversational QA. - Yixuan Weng; Bin Li 083; Fei Xia; Minjun Zhu; Bin Sun 001; Shizhu He; Kang Liu 001; Jun Zhao 001 (CoRR, 2023)

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. - Minjun Zhu; Yixuan Weng; Shizhu He; Kang Liu 001; Jun Zhao 001 (CoRR, 2023)

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. - Minjun Zhu; Yixuan Weng; Shizhu He; Kang Liu 001; Haifeng Liu; Yang jun Jun; Jun Zhao 001 (LREC/COLING, 2024)

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. - Yixuan Weng; Minjun Zhu; Fei Xia; Bin Li 083; Shizhu He; Kang Liu 001; Jun Zhao 001 (ICLR, 2024)

Large Language Models With Holistically Thought Could Be Better Doctors. - Yixuan Weng; Bin Li 083; Fei Xia; Minjun Zhu; Bin Sun 001; Shizhu He; Shengping Liu; Kang Liu 001; Shutao Li; Jun Zhao 001 (NLPCC (2), 2024)

Personality Alignment of Large Language Models. - Minjun Zhu; Linyi Yang; Yue Zhang 004 (CoRR, 2024)

Locking Down the Finetuned LLMs Safety. - Minjun Zhu; Linyi Yang; Yifan Wei; Ningyu Zhang 001; Yue Zhang 004 (CoRR, 2024)

Direct Preference Optimization Using Sparse Feature-Level Constraints. - Qingyu Yin; Chak Tou Leong; Hongbo Zhang; Minjun Zhu; Hanqi Yan; Qiang Zhang; Yulan He 001; Wenjie Li 002; Jun Wang 121; Yue Zhang 004; Linyi Yang (CoRR, 2024)

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ACL (1), 2025)

CycleResearcher: Improving Automated Research via Automated Review. - Yixuan Weng; Minjun Zhu; Guangsheng Bao; Hongbo Zhang; Jindong Wang 001; Yue Zhang 004; Linyi Yang (ICLR, 2025)

Personality Alignment of Large Language Models. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ICLR, 2025)

AI Scientists Fail Without Strong Implementation Capability. - Minjun Zhu; Qiujie Xie; Yixuan Weng; Jian Wu 037; Zhen Lin; Linyi Yang; Yue Zhang 004 (CoRR, 2025)

How Far Are AI Scientists from Changing the World? - Qiujie Xie; Yixuan Weng; Minjun Zhu; Fuchen Shen; Shulin Huang; Zhen Lin; Jiahui Zhou; Zilan Mao; Zijie Yang; Linyi Yang; Jian Wu; Yue Zhang (CoRR, 2025)

T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text. - Alva West; Luodan Zhang; Liuliu Zhang; Minjun Zhu; Yixuan Weng; Yue Zhang (CoRR, 2025)