A modular graph-based Retrieval-Augmented Generation (RAG) system

Generative Representational Instruction Tuning

This is the official github repo of Think-on-Graph. If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email ([email protected])

Doing simple retrieval from LLM models at various context lengths to measure accuracy

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Retrieval and Retrieval-augmented LLMs

unified embedding model

Official style files for papers submitted to venues of the Association for Computational Linguistics

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

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

[ICLR 2024] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

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

source code for {D}ocument-level {R}elation {E}xtraction with {E}vidence-guided {A}ttention {M}echanism

[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Model interpretability and understanding for PyTorch

visualizing attention for LLM users

Official repository for the paper "ALERT: A Comprehensive Benchmark for Assessing Large Language Models’ Safety through Red Teaming"

The official Meta Llama 3 GitHub site

RevLLM -- Reverse Engineering Tools for Large Language Models

The attention map viewer for LLaMA models.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (KDD'21).

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

SC-Safety: 中文大模型多轮对抗安全基准

The official implementation of Self-Play Fine-Tuning (SPIN)

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

An easy-to-use Python framework to generate adversarial jailbreak prompts.