Researchers propose CAELUM framework for calibrated uncertainty in LLM outputs
A new paper introduces CAELUM, a matchability-aware conformal prediction framework designed to give large language models better calibrated uncertainty estimates for open-ended generation.
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- 2026-11-10 05:00 · arXiv stat.ML
Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation