AINeutralarXiv – CS AI · 14h ago6/10
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ReasonOps: Operator Segmentation for LLM Reasoning Traces
Researchers introduced ReasonOps, an unsupervised method for analyzing chain-of-thought traces from large language models that identifies seven universal reasoning operators (backtracking, inferring, hypothesizing, etc.) appearing consistently across 12 different LLM families. The framework enables model identification, correctness prediction, and early quality estimation without manual annotation, revealing that each model family has a distinctive reasoning fingerprint.