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#artificial intelligence Preprint Sep 2026

When Reasoning Helps Action: Monitoring and Steering Chain-of-Thought in Vision-Language-Action Policies

Reasoning-enabled VLA policies expose chain-of-thought (CoT) traces that appear to explain and guide their actions, creating a potential interface for runtime safety through reasoning monitoring and correction. In this work, we define and operationalize two evaluation axes for assessing when this interface can improve...

Sathwik Karnik, J. Lee, Aryaman Gupta et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Gacha Decoding: Eliciting Diverse Generations Through Instruction Following

We introduce Gacha Decoding, an inference-time method for eliciting diverse language model generations that scales with model capability. Across open-ended domains (in-the-wild chat, creative writing, planning for image generation, and protein design), Gacha Decoding significantly outperforms existing generation divers...

Scott Geng, Yu-Fei Zhang, J. Lee et al. · 0 citations

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