Survey Maps Reasoning-Intensive Retrieval with LLMs
A new survey on arXiv (2605.00063) systematically reviews Reasoning-Intensive Retrieval (RIR), a paradigm where relevance depends on inferential links rather than semantic similarity. Motivated by LLMs' reasoning abilities, the field integrates these into retrieval pipelines. The survey organizes benchmarks by knowledge domains and modalities, and introduces a taxonomy categorizing methods by how reasoning is integrated, analyzing trade-offs and practical implications.
Key facts
- arXiv paper 2605.00063
- Title: A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
- RIR targets retrieval settings with latent inferential links
- Motivated by emergent reasoning abilities of LLMs
- Survey systematizes existing RIR benchmarks by knowledge domains and modalities
- Introduces a structured taxonomy for reasoning integration methods
- Analyzes trade-offs and practical applications
- Field lacks a systematic framework prior to this survey
Entities
Institutions
- arXiv