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Efficient Retrieval Augmentation and Generation Framework
MyGene.info: A BioThings API for gene annotations
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
Robust recipes to align language models with human and AI preferences
Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
DSPy: The framework for programming—not prompting—foundation models
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
[NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Precision Medicine Knowledge Graph (PrimeKG)
Evidence-based QA system for community question answering.
Sample PySpark code for interacting with the Microsoft Academic Graph
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"
The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**
A collection of AWESOME things about mixture-of-experts
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Code used for the creation of OBELICS, an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B text tokens and 353M images.
Papers about out-of-distribution generalization on graphs.