WLiK/LLM4Rec-Awesome-Papers
A curated collection of academic papers and resources on applying LLMs to recommendation systems.
Not currently ranked — collecting fresh signals.
star history
This repository aggregates research on using large language models for recommender systems, organizing papers by training approach (no fine-tuning versus supervised fine-tuning). It references the LLM4Rec survey paper and includes common datasets used in this domain. The collection serves as a research index for the intersection of NLP and recommendation systems.
Frequently asked
- What is WLiK/LLM4Rec-Awesome-Papers?
- A curated collection of academic papers and resources on applying LLMs to recommendation systems.
- Is LLM4Rec-Awesome-Papers open source?
- Yes — WLiK/LLM4Rec-Awesome-Papers is an open-source project tracked on heatdrop.
- How popular is LLM4Rec-Awesome-Papers?
- WLiK/LLM4Rec-Awesome-Papers has 2.3k stars on GitHub.
- Where can I find LLM4Rec-Awesome-Papers?
- WLiK/LLM4Rec-Awesome-Papers is on GitHub at https://github.com/WLiK/LLM4Rec-Awesome-Papers.