nancheng58 / awesome-llm4rs-papers

Large Language Model-enhanced Recommender System Papers

Hi there 👋.

awesome-llm4rs-papers's Issues

Add "Language models as recommender systems: Evaluations and limitations"

Hi @nancheng58,

Thank you for maintaining this great repo! We had a paper published in 2021 titled "Language models as recommender systems: Evaluations and limitations". This is the first work leveraging pre-trained LLMs for recommendation using prompting methods. Would you like to add this work to your repo?

Requesting for adding a new paper

Dear Repo Owner,

Thank you for maintaining this nice repo of LLM for Recommendation. We have recently released a session-recommendation dataset named Amazon-M2 for evaluating LLMs in recommendation scenarios. It provides both a dataset, a benchmark, and three text-related tasks. Would you mind adding this work to your repo?

Thank you for your attention.

你好呀，推广一下自己ACM MM‘23的论文

Knowledge Prompt-tuning for Sequential Recommendation
code

A New Paper to Share

Hi,

There is a new paper that discusses leveraging LLMs to obtain better explanations iteratively, and It then explores using enriched explanations to enhance Visualization Recommendations.

LLM4Vis: Explainable Visualization Recommendation using ChatGPT
Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim and Yong Wang
EMNLP Industry 2023 | paper | code

Adding a new LLM RecSys paper LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Hi @nancheng58,

Thank you for maintaining this repo of LLM Recsys, we recently release a workshop paper call LlamaRec for LLM-based sequential recommender. The paper can be found at https://github.com/Yueeeeeeee/LlamaRec/blob/main/media/paper.pdf (ArXiv will be available soon) and the code can be found at: https://github.com/Yueeeeeeee/LlamaRec

Would you mind adding this work to your repo as well? Thank you!

Maybe all the 'arvix' in this repo should be 'arxiv' ?

Main issue is as the title said..

Request for adding new paper and datasets

Hi @nancheng58,

Thanks so much for sharing such a nice repo on LLMs for Rec! I am wondering if our recent paper Large Language Models as Zero-Shot Conversational Recommenders could be included in this list?

Our contributions include (1) datasets: new conversational recommendation datasets from Reddit; (2) LLMs evaluation on conversational recommendation tasks and related analysis.

Thanks in advance!