Minjun Zhu

According to our database, Minjun Zhu authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CycleResearcher: Improving Automated Research via Automated Review.

Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang

CoRR, 2024

Locking Down the Finetuned LLMs Safety.

Minjun Zhu, Linyi Yang, Yifan Wei, Ningyu Zhang, Yue Zhang

CoRR, 2024

Personality Alignment of Large Language Models.

Minjun Zhu, Linyi Yang, Yue Zhang

CoRR, 2024

Large Language Models With Holistically Thought Could Be Better Doctors.

Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li, Jun Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks.

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2023

Large Language Models Need Holistically Thought in Medical Conversational QA.

Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2023

Neural Comprehension: Language Models with Compiled Neural Networks.

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2023

Learning to Build Reasoning Chains by Reliable Path Retrieval.

Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

Large Language Models are Better Reasoners with Self-Verification.

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Large Language Models are reasoners with Self-Verification.

Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains.

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2022

Learning to Answer Complex Visual Questions from Multi-View Analysis.

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

Proceedings of the CCKS 2022 - Evaluation Track, 2022

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation.

Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2020

Big Data Image Classification Based on Distributed Deep Representation Learning Model.

Minjun Zhu, Qinghua Chen

IEEE Access, 2020