Minjun Zhu

Orcid: 0000-0002-1917-9456

According to our database1, Minjun Zhu authored at least 22 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text.
CoRR, July, 2025

How Far Are AI Scientists from Changing the World?
CoRR, July, 2025

AI Scientists Fail Without Strong Implementation Capability.
CoRR, June, 2025

Personality Alignment of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CycleResearcher: Improving Automated Research via Automated Review.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Direct Preference Optimization Using Sparse Feature-Level Constraints.
CoRR, 2024

Locking Down the Finetuned LLMs Safety.
CoRR, 2024

Personality Alignment of Large Language Models.
CoRR, 2024

Large Language Models With Holistically Thought Could Be Better Doctors.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.
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.
CoRR, 2023

Large Language Models Need Holistically Thought in Medical Conversational QA.
CoRR, 2023

Neural Comprehension: Language Models with Compiled Neural Networks.
CoRR, 2023

Learning to Build Reasoning Chains by Reliable Path Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Large Language Models are Better Reasoners with Self-Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Large Language Models are reasoners with Self-Verification.
CoRR, 2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains.
CoRR, 2022

Learning to Answer Complex Visual Questions from Multi-View Analysis.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation.
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.
IEEE Access, 2020


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