boolq

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Tajaddin / conf-calib

Confidence calibration toolkit for LLM verbalized-probability outputs. Real benchmark on 998 BoolQ questions with Llama-3.1-8B: ECE 0.148 -> 0.030, log-loss 3.9 -> 0.41.

calibration ece isotonic-regression platt-scaling groq temperature-scaling llm anthropic brier boolq

Updated May 21, 2026
Python

hanan-herz / vector-is-the-answer

Star

One-pass residual readouts vs fair closed-set AR scoring (BoolQ, RuleTaker, ARC)

nlp arxiv reproducibility interpretability probing llm boolq

Updated Aug 18, 2026
Python

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