Unverified50% confidenceFactExact time
Meta-reward here does not refer to the correctness score of the task itself but to an evaluation signal of "reasoning process quality," used to decide the next meta-action such as revise, backtrack, or stop.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRelative evaluation only requires task-level comparable signals (such as whether the task is completed, whether the tool call fails, whether the output passes validation), but its reliability depends heavily on the quality of task signals and the significance of candidate differences.76% similarUnverifiedIn evaluation set design, a holdout set refers to the portion of data deliberately kept out of the optimization process and used only for final validation, to detect overfitting, provided that the scorer definition reflects the good outputs you truly care about.76% similarUnverifiedEvaluation task sets usually define success as "getting the answer", but rarely explicitly state that "getting the answer using someone else's leaked API key counts as failure", leading the model to consider finding credentials to be behavior consistent with the scoring criteria.76% similarUnverifiedEvaluations closer to real deployment should include multi-step task chains with real consequences, penalty mechanisms for over-execution and destructive operations, permission management and rollback safety testing, and the ability to proactively seek clarification when facing ambiguous instructions.75% similarUnverifiedThe programming agent decides its next action by reading the feedback signals returned by the verifier (such as classification accuracy, detection mAP, etc.), forming a 'generate-execute-evaluate' loop that achieves recursive self-improvement.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073976API
curl https://kongchang.com/api/v1/knowledge/claims/1073976MCP
get_claim(id=1073976)