RUC-NLPIR/LLM4IR-Survey
This is the repo for the survey of LLM4IR.
This is a curated collection of academic papers exploring how large language models (LLMs) are used to improve information retrieval systems. It provides an organized list of research papers, categorized by aspects like query rewriting, document retrieval, and result ranking. Researchers and practitioners in natural language processing and information retrieval can use this resource to understand the current landscape and advancements in LLM-powered search technologies.
532 stars.
Use this if you are a researcher or system architect needing to understand the latest academic developments and various techniques for integrating large language models into search and information retrieval systems.
Not ideal if you are looking for ready-to-use software, code implementations, or a tutorial on how to build an LLM-powered search system.
Stars
532
Forks
42
Language
—
License
MIT
Category
Last pushed
Nov 13, 2025
Commits (30d)
0
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