Metrics That Write Themselves: Evolving an Evaluator from Its Own Blind Spots
cs.AI, cs.CL, cs.SE
Submitted: 2026-08-19
Updated: 2026-09-24
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Random Rule Forest (RRF): Interpretable and Manageable Ensembles of LLM-Generated Questions for Predicting Success from Unstructured Data
- Automated Design of Agentic Systems
- Illuminating search spaces by mapping elites
- AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
- Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
- Large Language Models are not Fair Evaluators
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