WxxShirley

WxxShirley's Stars

• microsoft/JARVIS

  JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

  Language:Python23.7k3811812k

• NExT-GPT/NExT-GPT

  Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

  Language:Python3.3k59102330

• Tongji-KGLLM/RAG-Survey

  1.8k3218123

• xianshang33/llm-paper-daily

  Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

  98148639

• tangqiaoyu/ToolAlpaca

  the official code for "ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases"

  Language:Python86942139

• BaranziniLab/KG_RAG

  Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

  Language:Jupyter Notebook695162093

• yhLeeee/Awesome-LLMs-in-Graph-tasks

  A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

  5347551

• meta-math/MetaMath

  MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

  Language:Python38772835

• WxxShirley/Awesome-Graph-Prompt

  Awesome Papers About Performing Prompting On Graphs

  3497324

• XiaoxinHe/G-Retriever

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

  Language:Python32552257

• RManLuo/reasoning-on-graphs

  Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

  Language:Python32181741

• BUPT-GAMMA/GFMPapers

  Must-read papers on graph foundation models (GFMs)

  2705123

• facebookresearch/open-eqa

  OpenEQA Embodied Question Answering in the Era of Foundation Models

  Language:Jupyter Notebook23691022

• LechengKong/OneForAll

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

  Language:Python18611523

• OpenGVLab/ControlLLM

  ControlLLM: Augment Language Models with Tools by Searching on Graphs

  Language:Python186868

• IAAR-Shanghai/UHGEval

  [ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.

  Language:Python18412417

• SitaoLuan/LLM4Graph

  1598213

• XiaoxinHe/neurips2023_learning_on_graphs

  List of papers on NeurIPS2023

  Language:Python88202

• chengkai-liu/Mamba4Rec

  [RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

  Language:Python841103

• VITA-Group/LLaGA

  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang

  Language:Python822253

• CurryTang/Towards-graph-foundation-models

  77103

• wjn1996/InstructGraph

  A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

  Language:Jupyter Notebook72294

• wuyike2000/Retrieve-Rewrite-Answer

  Language:Python5821213

• IAAR-Shanghai/DATG

  [ACL 2024]Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs

  Language:Jupyter Notebook35113

• wooner49/TriCL

  I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)

  Language:Python33236

• PeterGriffinJin/Patton

  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)

  Language:Python24331

• ZhuYun97/ENGINE

  Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"

  Language:Python24241

• LuckyTiger123/GPF

  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.

  Language:Python20254

• AngxiaoYue/awesome-llm-tool-learning

  A list of awesome papers on LLM tool learning.

  19111

• CGCL-codes/GraphInstruct

  The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

  Language:Python16410