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FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search
Agentic search requires language model agents to explore many sources and answer complex information-seeking questions. Scaling test-time compute is a promising way to improve these agents, but current approaches can fail, because correct answers are often sparse and score-based selection depends on
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