Re-bin

Video-LLaVA

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

RecFormer

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

Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

KG-LLM-Papers

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

LanguageBind

【ICLR 2024🔥】 Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

LLaVA-Plus-Codebase

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

STAR-HiT

The implementation of STAR-HiT.

GPT-ST

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

TAPE

Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

langsuite

Official Repo of LangSuitE

Yi

A series of large language models trained from scratch by developers @01-ai

Lemur

[ICLR 2024] Lemur: Open Foundation Models for Language Agents

DS-1000

[ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".

RLMRec

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

InstructGLM

Language is All a Graph Needs

Graph-LLM

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

LLM4Graph

KAssess

Genesis

A generative world for general-purpose robotics & embodied AI learning.

OneForAll

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

OpenP5

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

LLM_uncertainty

LLM4Rec-Awesome-Papers

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

Awesome-LLM-for-RecSys

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

LLM4Rec

(WWW'24) The first RS that tightly combines LLM with ID-based RS.

WorldModelPapers

Paper collections of the continuous effort start from World Models.

DA-CL-4Rec

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

LLMRec

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

text2reward

[ICLR 2024] Code for the paper "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning"