Cheap, Consistent, Calibrated, but Biased? Typed Decision Models as Judges
cs.CL
Submitted: 2026-10-13
Updated: 2026-10-13
Code: https://github.com/fabian-lu/TDM_as_a_Judge
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Labels Override Definitions in Jev-Style Typed Decision Models
- Pair Difficulty Matters: Rethinking Pairwise LLM-as-a-Judge Evaluation and Consistency
- Probability Contracts: Accuracy, Coherence, and Decisions Across LLM Interfaces
- Training Verifiers to Solve Math Word Problems
- JEV versus LLMs: Accuracy, Cost and Calibration on Seven Political Science Replications
- Evaluating and Benchmarking the System One Model Jev
- Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
- More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models
- Judgement in the Age of Jev: From Evaluation Scarcity to Evaluation Abundance
- JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions Models
- Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
- Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses
- JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
- The Argument and the Letterhead: Source-Position Coherence in AI Evaluation
- Benchmarking System One decision models against trained classifiers and language models for automated decision gates
- Decision Models vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Places
- Verbosity Bias in Preference Labeling by Large Language Models
- Type-Safe Is Not Error-Free: Typed Decision Models Follow the Option Name, Not the Definition Bound to It
- Typed Decision Models: An Early Evidence Audit and Evaluation Checklist
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