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LLM-guided evolutionary search can discover complex programs, but existing methods mostly only save candidate programs and fitness scores while discarding which component edits produced which fitness metric changes. Existing methods force the mutator LLM to infer the effect of prior edits from cluttered histories, maki...
This work introduces WildFin, a novel benchmark for fish behavior recognition collected and annotated by ecologists, and benchmark modern vision foundation models and quantify tradeoffs between static and spatiotemporal architectures, revealing the substantial gap between current model capabilities and the demands of r...
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