🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

Image-to-Image Translation in PyTorch

All things prompt engineering

Graph Convolutional Networks in PyTorch

AllenAI's post-training codebase

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

Arena-Hard-Auto: An automatic LLM benchmark.

A Neural Framework for MT Evaluation

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Everything you want to know about Google Cloud TPU

Resources for the "SummEval: Re-evaluating Summarization Evaluation" paper

Interpretable Evaluation for AI Systems

BARTScore: Evaluating Generated Text as Text Generation

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation

The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

SacreROUGE is a library dedicated to the use and development of text generation evaluation metrics with an emphasis on summarization.

LectureBank Dataset

The unified platform for data-related resources.

An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"

Pre-processing and in some cases downloading of datasets for the paper "Content Selection in Deep Learning Models of Summarization."

Code, Models, and Data for the ACL 2019 paper "Scoring Sentence Singletons and Pairs for Abstractive Summarization"

Fine-grained Text Sentiment Transfer(ACL 2019)

Chance-corrected Agreement Coefficients