Yujun Zhou

According to our database, Yujun Zhou authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously.

Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang, Yujun Zhou, Carl Yang, Xiangliang Zhang, Yanfang Ye

CoRR, February, 2026

Capability-Oriented Training Induced Alignment Risk.

Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang

CoRR, February, 2026

2025

Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR.

Haomin Zhuang, Yujun Zhou, Taicheng Guo, Yue Huang, Fangxu Liu, Kai Song, Xiangliang Zhang

CoRR, October, 2025

Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis.

Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang

CoRR, February, 2025

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond.

Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, February, 2025

Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles.

Yue Huang, Chujie Gao, Yujun Zhou, Kehan Guo, Xiangqi Wang, Or Cohen-Sasson, Max Lamparth, Xiangliang Zhang

CoRR, February, 2025

Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study.

Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?

Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang

CoRR, 2024

LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs.

Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang

CoRR, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

CoRR, 2024

Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation.

Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data.

Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark.

Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs.

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Understanding the Robustness Against Evasion Attack on Categorical Data.

Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs.

Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang

Proceedings of the IEEE International Conference on Big Data, 2022