Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...
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Background In 2024, Ecuador faced its most severe drought in over six decades, severely disrupting hydroelectric power ...
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