#reasoning-mechanisms News & Analysis

2 articles tagged with #reasoning-mechanisms. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 276/10

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What Makes Chain-of-Thought Work at Probe Time? Local Co-occurrence Rather Than Global Derivation

Researchers investigated why chain-of-thought prompting improves language model accuracy by analyzing what happens at inference time rather than generation time. They discovered that the improvement comes primarily from lexical activation and short-range token co-occurrence (2-3 adjacent tokens) rather than from logical sentence-level reasoning, challenging assumptions about how rationales actually drive model performance.

AINeutralarXiv – CS AI · Apr 206/10

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LLM Reasoning Is Latent, Not the Chain of Thought

A new position paper challenges the prevailing assumption that large language models reason through explicit chain-of-thought outputs, arguing instead that reasoning occurs primarily in latent-state trajectories hidden within model computations. The research separates three confounded factors and proposes that current reasoning benchmarks and interpretability claims need fundamental reevaluation based on this distinction.