An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

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

WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

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

Some Conferences' accepted paper lists (including AI, ML, Robotic)

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Repo for adapting Meta LlaMA2 in Chinese! META最新发布的LlaMA2的汉化版！ （完全开源可商用）

Tabular Deep Learning Library for PyTorch

Forward-Looking Active REtrieval-augmented generation (FLARE)

huggingface mirror download

A foundation model for knowledge graph reasoning

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

For releasing code related to compression methods for transformers, accompanying our publications

[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

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

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

[ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark

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

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