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For a long-horizon LLM agent, the memory question is not what was once recorded but what \emph{currently holds}. Most designs answer it only indirectly: every interaction is stored, and the present is reconstructed at query time by retrieving and reconciling records, so stale values re-enter and the same conflicts are...
ImpossibleRubrics is introduced, a benchmark of 169 impossible tasks spanning six impossibility categories, each paired with a verifiable oracle certificate specifying what an honest answer may and may not claim, together with 48 answerable controls.
This technical report presents the training framework behind the Yuanbao search agent, designed to achieve search specialization without sacrificing general intelligence, and combines agentic reinforcement learning for autonomous search with a cross-domain expert On-Policy Distillation pipeline.
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