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It is demonstrated that empirical lab data is more valuable than existing computational proxies, showing how iterative experimental feedback enables AI agents to diagnose assay artifacts and refine molecular designs across rounds.
SocialReasonBench is introduced, a video multiple-choice QA benchmark for evaluating socially grounded reasoning in scenarios derived from interactive narratives and develops a multi-agent curation pipeline that localizes socially meaningful clips, grounds answer labels in game-state signals, and generates theory-guide...
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