Yujun Zhou

Orcid: 0000-0003-1376-5187

Affiliations:

University of Notre Dame, IN, USA
King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

According to our database¹, Yujun Zhou authored at least 35 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

AIRGuard: Guarding Agent Actions with Runtime Authority Control.

[BibT_eX]

[DOI]

CoRR, May, 2026

AgentTrap: Measuring Runtime Trust Failures in Third-Party Agent Skills.

[BibT_eX]

[DOI]

CoRR, May, 2026

NARRA-Gym for Evaluating Interactive Narrative Agents.

[BibT_eX]

[DOI]

CoRR, May, 2026

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data.

[BibT_eX]

[DOI]

CoRR, April, 2026

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

ProbeLLM: Automating Principled Diagnosis of LLM Failures.

[BibT_eX]

[DOI]

CoRR, February, 2026

Capability-Oriented Training Induced Alignment Risk.

[BibT_eX]

[DOI]

CoRR, February, 2026

Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, January, 2026

Your Reasoning Model is Secretly a Reward Model - Optimization-Free Verification from Experience.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Stable and Efficient Single-Rollout RL for Multimodal Reasoning.

[BibT_eX]

[DOI]

CoRR, December, 2025

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, December, 2025

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data.

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

CLUE: Non-parametric Verification from Experience via Hidden-State Clustering.

[BibT_eX]

[DOI]

CoRR, October, 2025

Causally-Enhanced Reinforcement Policy Optimization.

[BibT_eX]

[DOI]

CoRR, September, 2025

ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions.

[BibT_eX]

[DOI]

CoRR, September, 2025

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation.

[BibT_eX]

[DOI]

CoRR, September, 2025

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

Kehan Guo

Yili Shen

Gisela Abigail Gonzalez-Montiel

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Defending Jailbreak Prompts via In-Context Adversarial Game.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

Towards Understanding the Robustness Against Evasion Attack on Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Yujun Zhou

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