The AI Code Editor

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

Instruct-tune LLaMA on consumer hardware

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Anthropic's educational courses

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation

[SIGIR'24] The official implementation code of MOELoRA.

Large Language Model-enhanced Recommender System Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

Retrieval and Retrieval-augmented LLMs

Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"

All code necessary for reproducing the "Improving Sequential Recommendation with LLMs" and "Leveraging Large Language Models for Sequential Recommendation" papers.

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

This is the repo for the survey of LLM4IR.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

🕵️‍♂️整理一些可用的社工库

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

This is a repository of public data sources for Recommender Systems (RS).

A unified, comprehensive and efficient recommendation library