代理工具
ABSeeker Backtracks from Correct Answers to Derive Search Clues, Raising a 4B Model’s BrowseComp Score to 55.3%
ABSeeker breaks down a search agent’s final success or failure into step-level rewards, preserving useful queries from failed trajectories while downweighting erroneous steps in successful ones. The team has released the 4B model weights and the inference and training pipelines, though its best results still rely on additional context management and an LLM judge.