TianyuFan0504

agentscope

Start building LLM-empowered multi-agent applications in an easier way.

RAGLAB

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

Awesome-LLM4Graph-Papers

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

MultiHop-RAG

Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)

Knowledge_Card

Code for "Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models", ICLR 2024 Oral.

stark

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)

awesome-graph-dataset

Graph Dataset Hub/Community ready for NebulaGraph

slideslive-downloader

download slideslive presentations (video + slides)

graph-rag

Graph based retrieval + GenAI = Better RAG in production

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

Awesome-Continual-Test-Time-Adaptation

Collection of awesome Continual Test-Time Adaptation methods

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

multimodalqa

open-entity-relation-extraction

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

in-context-ralm

recomp

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

FLARE

Forward-Looking Active REtrieval-augmented generation (FLARE)

LLMLingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

in-context-pretraining

Awesome-ScalingLaws

A curated list of awesome resources dedicated to Scaling Laws for LLMs

KG-RAG-datasets

Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets

NeuLR

content-neutral dataset of logical reasoning

clutrr

Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

LogiQA2.0

Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks

GLoRE

a benckmark for evaluating logical reasoning of LLMs

G-Retriever

Repository for G-Retriever

ULTRA

A foundation model for knowledge graph reasoning

Graph_Toolformer

PromptMM

[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"