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LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Paper demonstrates that using LLMs as evaluators in self-improving agent loops creates optimization drift without deterministic verification gates.
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