Boyuan Chen

Orcid: 0009-0004-7726-1142

Affiliations:
  • Peking Universit, China


According to our database1, Boyuan Chen authored at least 20 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AI Alignment: A Contemporary Survey.
ACM Comput. Surv., April, 2026

2025
Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models.
CoRR, December, 2025

AI Deception: Risks, Dynamics, and Controls.
CoRR, November, 2025

SafeMT: Multi-turn Safety for Multimodal Language Models.
CoRR, October, 2025

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback.
CoRR, May, 2025

Mitigating Deceptive Alignment via Self-Monitoring.
CoRR, May, 2025

Generative RLHF-V: Learning Principles from Multi-modal Human Preference.
CoRR, May, 2025

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society.
CoRR, April, 2025

Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models.
CoRR, March, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
CoRR, January, 2025

Language Models Resist Alignment: Evidence From Data Compression.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback.
CoRR, 2024

PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models.
CoRR, 2024

Language Models Resist Alignment.
CoRR, 2024

Efficient Model-agnostic Alignment via Bayesian Persuasion.
CoRR, 2024

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction.
CoRR, 2024

Aligner: Efficient Alignment by Learning to Correct.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
AI Alignment: A Comprehensive Survey.
CoRR, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


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