arXiv Machine Learning June 29, 2026 By Fahd Seddik, Fatemeh Fard

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs

Read the original on arXiv Machine Learning →

arXiv:2606. 27378v1 Announce Type: cross Abstract: We introduce an axiomatic evaluation framework for latent thought representations in LLMs, comprising metrics that are independent of downstream benchmark scores and reveal representational failures that benchmark accuracy masks.

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