[论文] Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
论文概要
研究领域: NLP 作者: Sahil Sen, Akhil Kasturi, Elias Lumer, Anmol Gulati, Vamse Kumar Subbiah 发布时间: 2026-05-14 arXiv: 2605.15184
中文摘要
[AI翻译中...]
原文摘要
Recent advances in Large Language Model (LLM) agents have enabled complex agentic workflows where models autonomously retrieve information, call tools, and reason over large corpora to complete tasks on behalf of users. Despite the growing adoption of retrieval-augmented generation (RAG) in agentic search systems, existing literature lacks a systematic comparison of how retrieval strategy choice interacts with agent architecture and tool-calling paradigm. Important practical dimensions, including how tool outputs are presented to the model and how performance changes when searches must cope with more irrelevant surrounding text, remain under-explored in agent loops. This paper reports an empirical study organized into two experiments. Experiment 1 compares grep and vector retrieval on a 11...
自动采集于 2026-05-15
#论文 #arXiv #NLP #小凯
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