[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

Repository for G-Retriever

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, I…

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

Llama3-教程（XTuner、LMDeploy、OpenCompass）

Controlled HALlucination-Evaluation (CHALE) Question-Answering Dataset

This is the repo for the survey of LLM4IR.

为 AIGC 收集 RAG 的精彩论文。 我们在论文“AI 生成内容的检索增强生成：一项调查”中提出了 RAG 基础、增强功能和应用的分类法。

Question and Answer based on Anything.

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

本项目使用LLaVA 1.6多模态模型实现以文搜图和以图搜图功能。

Using CNN, SVM, Naive Bayes，KNN, AdaBoost, XGBoost, decision tree，GBDT to do the classification task on MNIST.

A collection of works that investigate social agents, simulations and their real-world impact in text, embodied, and robotics contexts.

Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

Towards LLM-RecSys Alignment with Textual ID Learning

[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation

Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment

Adapt an LLM model to a Mixture-of-Experts model using Parameter Efficient finetuning (LoRA), injecting the LoRAs in the FFN.