arXiv Machine Learning June 2, 2026 By Shuochen Chang, Tong Bai, Xiaofeng Zhang, Qianli Ma, Qingyang Liu, Zhaohe Liao, Yibo Miao, Li Niu

Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

Read the original on arXiv Machine Learning →

arXiv:2606. 01243v1 Announce Type: cross Abstract: Latent reasoning enables Large Language Models (LLMs) to perform multi-step inference within continuous hidden states, offering efficiency gains over explicit Chain-of-Thought (CoT).

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

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