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The benchmark and diagnostics establish that acquiring useful whole-slide context is necessary but far from sufficient, and call for a shift from answer-centric to evidence-grounded evaluation in computational pathology.
TTRSD separates update direction from update position, determined by group-relative advantages, from update position, determined by visual sensitivity, without requiring ground-truth labels, external verifiers, or a separate teacher, demonstrating cross-dataset generalization while preserving inherent reasoning integri...
OVIBench, the first standardized benchmark for evaluating VLMs in this setting, is introduced and it is demonstrated that OVIBench effectively distinguishes models'interruption-handling abilities, especially in following correction requests.
This work studies whether learning from both the controller's decisions and the experts'reasoning and code improves its generation after expert removal, and introduces Rivet for collaboration internalization, supporting the effectiveness of training on the content and structure of verified collaborations.
SciRIGOR is introduced, an evaluation framework and benchmark comprising 100 cases from scientific articles across six domains and 17 subfields and scores complete claim-support paths while localizing the earliest unsupported relation.
GenEvA uses a query-conditioned evidence distribution to focus aggregation on relevant frames, forming compact cross-frame latent evidence from their frame-specific information from their frame-specific information.
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