FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search 事件

FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search arXiv:2606.00660v1 Announce Type: new Abstract: 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 model calibration. We propose FineVerify, a fine-grained