over-searching-control

【数据与研究】Diagnose and prevent over-searching—unnecessary search invocations that degrade LLM performance and waste tokens. Framework introduces Tokens Per Correctness (TPC) metric and OverSearchQA dataset to train models that know when NOT to search. Teaches agents to recognize answerable vs. unanswerable queries and selectively invoke search only when needed…

独立 GitHub 快照 · 自动分类 · 以原作者文档为准