Epistemic Humility in Agent Evals: What Happens When Retrieved Evidence Contradicts the Model's Prior Beliefs
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Existing agent evals measure task success. They do not measure what happens when the agent's retrieval layer returns evidence that contradicts its training data. A new paper from Sun et al. (arXiv 2610.12360v1) introduces epistemic humility as an eval dimension: does the agent revise its answer, fl…
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- 2026-10-11 20:06 · DEV Community — AI
Epistemic Humility in Agent Evals: What Happens When Retrieved Evidence Contradicts the Model's Prior Beliefs