arXiv Machine Learning June 9, 2026 By Tuc Nguyen, Thai Le

ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning

Read the original on arXiv Machine Learning →

arXiv:2601. 03093v2 Announce Type: replace Abstract: Recent work on activation and latent steering has demonstrated that modifying internal representations can effectively guide large language models (LLMs) toward improved reasoning and efficiency without updating model parameters.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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