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LLMs routinely overstate evidence and prematurely close investigations, but a novel dataset and RL approach enable them to match human expert judgment on evidence sufficiency.
Standard information retrieval methods can match LLM-mediated skill selection for agents, slashing per-task costs from $51 to $27.
VISTA transforms single-plane fluoroscopy into a powerful tool for autonomous microrobot navigation, slashing navigation time and radiation exposure while eliminating the need for contrast agents.
LLMs can now proactively correct user input errors, significantly boosting their accuracy and reliability in real-world applications.
