AIBullisharXiv – CS AI · Jun 97/10
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Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models
Researchers propose Inference-Time Conformal Reasoning (ITCR), a framework that integrates conformal prediction directly into LLM reasoning generation to provide mathematically valid factuality guarantees. The method addresses the structural nature of uncertainty in multi-step reasoning by calibrating when to stop generation based on graph-level factuality signals, delivering more accurate outputs than post-hoc correction approaches.