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A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.04539v1 Announce Type: new Abstract: A critical challenge in deploying Large Language Models (LLMs) is developing reliable mechanisms to estimate their confidence, enabling systems to determine when to trust model outputs versus seek human intervention. We present a Calibrated Reflection…

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  1. 2026-09-07 04:00 · arXiv cs.CL
    A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs

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