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A lightweight framework that dynamically terminates reasoning by estimating whether the generated prefix is sufficient for correct answering and derives robust training labels through repeated answer completions is presented, demonstrating an effective approach to more efficient LLM reasoning.
This work presents UpgradeBench, a decision-driven longitudinal benchmark covering four consecutive Qwen releases, one continuation checkpoint, six tasks, and two model sizes, augmented by OLMo checkpoints with known training lineage, and disentangles three core questions: whether a new checkpoint improves fixed-recipe...
This work formalizes evaluator reasoning accountability via three core sources: grounds, norms, and authority, and defines judgment receipts as minimal source replacement sets that reproduce revised verdicts to explain judgment transitions.
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