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By Calibrated Agents Research Team8 min read

Benchmark · 10 Oct 2026

Microsoft-Decision-1 vs OpenAI vs Jev vs Cloudflare Clef: decision models benchmarked (2026)

Microsoft launched Microsoft-Decision-1 on 9 October 2026.

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By Calibrated Agents Research Team9 min read RESEARCH · 9 Oct 2026

Hallucination detection in 2026: find the wrong sentence, not just the wrong answer

An AI answer is rarely all wrong.Read more →
By Calibrated Agents Research Team8 min read BENCHMARK · 8 Oct 2026

Hallucination detection benchmark 2026: 50 labelled answers beat a tuned LLM judge

Most hallucination detection benchmarks compare detectors with whatever thresholds their authors chose.Read more →
By Calibrated Agents Research Team5 min read ESSAY · 8 Sep 2026

Why LLM-as-a-judge fails in production: the base rate problem

LLM-as-a-judge has good recall and no precision control.Read more →

Product launches

Reading list

The papers and cases our work builds on.

  1. 01RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
    Niu et al., 2024
  2. 02MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (LLM-AggreFact)
    Tang, Laban & Durrett, 2024
  3. 03FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
    Bao et al., NAACL 2025
  4. 04Lynx: An Open Source Hallucination Evaluation Model (HaluBench)
    Ravi et al., Patronus AI, 2024
  5. 05Hallucination Leaderboard (HHEM)
    Vectara, ongoing
  6. 06Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
    Zheng et al., NeurIPS 2023
  7. 07Self-Consistency Improves Chain of Thought Reasoning in Language Models
    Wang et al., ICLR 2023
  8. 08On Calibration of Modern Neural Networks
    Guo et al., ICML 2017
  9. 09Moffatt v. Air Canada, 2024 BCCRT 149
    Civil Resolution Tribunal, British Columbia, 2024

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