2026-10-11 18:03 UTC

Integrity Bench’s creators claim their released benchmark reproducibly measures LLM confidence errors, enabling more useful comparisons of model calibration and reliability.

state: expiredheat: lowuncertainty: highconvergesscott: mediumllm-evaluation confidence-calibrationIntegrity Bench

What is this?

The supplied results describe ConfidenceBench, a 100-question multiple-choice benchmark for measuring whether an LLM’s stated confidence matches its correctness, with high-confidence errors penalized using calibration metrics such as the Brier score. Its publication argues that calibrated uncertainty could support abstention, escalation, and human review, and reports run-to-run stability; however, the snippets do not identify the creators or fully substantiate the broader reproducibility claim. The case calls the entity “Integrity Bench,” while the search results consistently call it “ConfidenceBench,” so the identity match is uncertain.

Why it matters to Scott

The benchmark operationalizes a load-bearing input in Scott’s Risk-Based Triage framework: calibrated confidence used for abstention, escalation, and human review. It could provide a useful comparative measure, but the small multiple-choice format, uncertain creator identity, and incompletely substantiated reproducibility claim limit its immediate effect on what Scott would build or argue.
ip:concept.risk-based-triageradar:agentabstain-benchmark-validityradar:concept.model-evaluation
queries asked of Scott's wikis
  • confidence-aware agent abstention and escalation
  • LLM calibration versus self-reported confidence
  • reliability metrics beyond benchmark accuracy
  • confidence gating for human review
  • benchmark reproducibility and contamination
  • uncertainty handling in coding-agent harnesses

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (3) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hnIntegrity Bench – Measuring LLM confidence errorsTopfi10
🟧 echo.other ⭐The site is the original benchmark publication, stating: “we created a novel benchmark” and that its questions are “largely newly authored.”AI Explained and Pablo Romero——
🟠 redditIntegrity Bench by AI Explained and Pablo Romero - Measuring how overconfident a model is
singularity
Acne_Discord335

Interpretation history

Decision trace