RLCD: RL Fine-Tuning Pushes LLMs Toward Calibrated Confidence in Decisions
prdeepakbabu · x · 2026-09-18
A new acronym joins RLHF/RLAIF/RLFT: RLCD (RL for calibrated decisions). The Jev system reportedly uses this architecture, treating generation as extreme classification run in parallel threads for ultra-fast responses, and targets the core problem that LLM logits are poorly calibrated. The closest paper, "Rewarding Doubt" (TUM et al.), fine-tunes LLMs with a log-score-based reward that penalizes both over- and under-confidence to elicit calibrated confidence alongside factual answers.
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