Official repository for EXAONE built by LG AI Research

A curated list of awesome open-source libraries for production LLM

Official repository AAAI 2024 paper: YTCommentQA: Video Question Answerability in Instructional Videos

library supporting NLP and CV research on scientific papers

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

QLoRA: Efficient Finetuning of Quantized LLMs

Code and documentation to train Stanford's Alpaca models, and generate the data.

Instruction Tuning with GPT-4

Let ChatGPT teach your own chatbot in hours with a single GPU!

Tune any FALCON in 4-bit

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

Progressive Prompts: Continual Learning for Language Models

A set of scripts to grab public datasets from resources related to arXiv

A data set based on all arXiv publications, pre-processed for NLP, including structured full-text and citation network

ACL2020 Tutorial: Open-Domain Question Answering

Official Repo for ICLR2022 paper : Should we be Pre-Training ? Exploring End-Task Aware Training In Lieu of Continued Pre-training

OSLO: Open Source framework for Large-scale model Optimization

SciGen

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking

Existing Literature about Machine Unlearning

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Guide to using pre-trained large language models of source code

Diffusion-LM

Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.