Author

Yong Xie

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Preprint Sep 2026

The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the Mean

The results suggest that benchmark scores should be interpreted together with their scaffolding level, scoring criterion, and reliability profile, providing a practical framework for more valid evaluation of LLM agents.

Yong-Hong Zhang, Shadi Motaali, Vu Phong Dinh et al. · 3 citations

Preprint Jul 2026

Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models

Oyster-II is proposed, a reinforcement learning (RL)-based constructive safety alignment framework that adopts a Zero-RL paradigm combined with a multi-stage reinforcement learning strategy that comprehensively surpasses both Qwen3-14B and its predecessor Oyster-I on safety dimensions.

Jiyang Guan, Yong Xie, Jun Chen et al. · 0 citations