{"slug": "confidence-comes-from-experience-experiential-confidence-estimation-from-to", "title": "Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents", "summary": "A new paper titled \"Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents\" argues that reliable confidence estimation is central to the trustworthy deployment of language models, since a calibrated estimate of the probability that an output is correct decides what to ship, what to escalate, and what to retry. The work notes that existing confidence estimators share a single design premise, though the provided source text is truncated before that premise is stated.", "body_md": "Reliable confidence estimation is increasingly central to the trustworthy deployment of language models: a calibrated estimate of the probability that an output is correct decides what to ship, what to escalate, and what to retry. Existing confidence estimators, however, share one design premise: th", "url": "https://wpnews.pro/news/confidence-comes-from-experience-experiential-confidence-estimation-from-to", "canonical_source": "https://aiflash.com/news/121204/", "published_at": "2026-09-17 08:30:26+00:00", "updated_at": "2026-09-17 08:53:50.095988+00:00", "lang": "en", "topics": ["large-language-models", "ai-agents", "ai-safety", "ai-research"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/confidence-comes-from-experience-experiential-confidence-estimation-from-to", "markdown": "https://wpnews.pro/news/confidence-comes-from-experience-experiential-confidence-estimation-from-to.md", "text": "https://wpnews.pro/news/confidence-comes-from-experience-experiential-confidence-estimation-from-to.txt", "jsonld": "https://wpnews.pro/news/confidence-comes-from-experience-experiential-confidence-estimation-from-to.jsonld"}}