A New Role for Relevance: Guiding Corpus Interaction in Agentic Search
- Published
- Source
- arXiv
- Paper number
- 742
- Field
- LLMs / NLP
- arXiv ID
- 2607.24223
Key points
- It redefines relevance as the order in which grep explores the corpus, rather than as a top-k document selection problem.
- Document ranking provides global relevance, while match reranking provides local relevance.
- It seeds the retrieval start points with question-matched passages so that decisive evidence is found earlier.
- On GPT-5.4-mini, it reaches 84 percent accuracy with only 23.9 tool calls, which is far fewer calls than competing methods.
- It retains 79 percent accuracy even when scaled to one million documents, showing only a mild performance drop.
Paper links
External research summaries. These are not HDATF publications or measured product results.