Author

Kui Ren

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#artificial intelligence Preprint Sep 2026

DeShortcut-Align: Decoupling Spurious Shortcuts for Robust Safety Alignment in Large Reasoning Models

Safety alignment of large reasoning models (LRMs) via supervised fine-tuning (SFT) and reinforcement learning (RL) often yields near-perfect safety scores, yet this apparent success comes at the cost of severe over-refusal and degraded general capabilities. Through systematic empirical analysis, we find that these fail...

Qi-Rui Liu, Yi-Chen Sun, Yan Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

EOPSA: Efficient On-Policy Self-Distilled Safety Alignment

On-Policy Self-Distillation (OPSD) has emerged as a promising paradigm for safety alignment, delivering dense, token-level supervision by distilling from a teacher conditioned on refusal-oriented privileged prompts. However, we reveal that this paradigm suffers from critical inefficiencies that degrade both training ef...

Qi-Rui Liu, Yi-Chen Sun, Yan Wang et al. · 0 citations

#artificial intelligence Review Sep 2026

Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review

Peer review is central to quality control in science. However, existing evaluations of AI-assisted peer review mainly focus on the overall quality of generated reviews or the accuracy of final decisions. They therefore provide limited evidence about whether model decisions are supported by sufficient and reliable revie...

Siming Yuan, Xue-Yi Zhang, Wang-Ze Ni et al. · 0 citations