[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)

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

Controlled HALlucination-Evaluation (CHALE) Question-Answering Dataset

Question and Answer based on Anything.

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.

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

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.

State-of-the-art Parameter-Efficient MoE Fine-tuning Method

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

An Efficient "Factory" to Build Multiple LoRA Adapters

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

A curated list of papers and resources about multimodal learning on graphs.