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.