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ExplorationBench turns the wicked problem of evaluating scientific exploration into a concrete and tractable framework built on verifiable Alien Worlds, and finds that the strongest systems can acquire and apply unfamiliar rules, while performance varies substantially across trajectories and continued exploration can s...
This framework organizes existing methods around five components: explicit state representation, transition structuring, validation and constraint enforcement, search and rollback, and uncertainty management, and yields a diagnostic hypothesis: interventions should be most effective when they target the error or uncert...
MuseCritic is introduced, a semi-scalar reward model that generates a natural-language critique covering five aesthetic dimensions and uses it as an intermediate representation to predict continuous reward scores, showing that critique-conditioned reward modeling reduces scoring error and provides an effective optimiza...
RadFabric is presented, an agentic AI system that orchestrates fourteen specialized open-source CXR analytics models and two Vision-Language Models through a modular protocol that enables explainable, robust diagnoses across common and rare pathologies while facilitating extensibility through additional agents.
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