Research paper

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

Published by Association for Computational LinguisticsJul 2026PDF

Explore how retrievers perform when an agent must assemble evidence through multiple reasoning steps.

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Yilun Zhao, Jinbiao Wei, Tingyu Song, Siyue Zhang, Chen Zhao, Arman Cohan. Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). © 2026 Association for Computational Linguistics. CC BY 4.0. 10.18653/v1/2026.acl-long.1705. Original PDF, unmodified.

CC BY 4.0

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

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