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Xing Fu

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#artificial intelligence Preprint Sep 2026

Self Improvement via Fast Tree-search

A simple, sample-efficient self-improvement framework that significantly improves coding performance under strict budget constraints and outperforms existing tree-search based self-evolution frameworks on the full Polyglot benchmark with significantly lower resource requirements in terms of CPU hours, wall clock time,...

Xing Fu, Aravinth Kulanthaivelu, Yutaro Yamada · 2 citations · ⚡2
#artificial intelligence Preprint Sep 2026

First Token Matters: Understanding Safety Collapse in Large Reasoning Models

It is found that the refusal-related signal of LRMs drops sharply at the first generated token under harmful queries, which is associated with unsafe response generation, and this work proposes SafeToken, a lightweight inference-time intervention that injects a learned continuous safety anchor precisely at reasoning on...

Yi-Zheng Yang, Hai-Ning Yu, Yue-Chen Wang et al. · 0 citations

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