activatedgeek/calibration-tuning

Code for COLM 2026 Paper "Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs"

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Do Large Language Models Know What They Don’t Know?

Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)

CalArena is a large-scale benchmark for post-hoc calibration of classification models.

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).