RISE uses BM25 to bound interaction spaces for agentic search and pre-processes documents for shell navigation, matching direct corpus interaction accuracy at roughly one-quarter the cost on BrowseComp-Plus.
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A survey that categorizes RIR benchmarks by domain and modality, proposes a taxonomy for integrating reasoning into retrieval pipelines, and outlines key challenges.
MATM is a retrieval framework that lets populations of LLM agents share and reuse task trajectories to improve performance on interactive tasks without joint training.
citing papers explorer
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Towards Retrieving Interaction Spaces for Agentic Search
RISE uses BM25 to bound interaction spaces for agentic search and pre-processes documents for shell navigation, matching direct corpus interaction accuracy at roughly one-quarter the cost on BrowseComp-Plus.
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A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
A survey that categorizes RIR benchmarks by domain and modality, proposes a taxonomy for integrating reasoning into retrieval pipelines, and outlines key challenges.
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Multi-Agent Transactive Memory
MATM is a retrieval framework that lets populations of LLM agents share and reuse task trajectories to improve performance on interactive tasks without joint training.