🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

Shared repository for open-sourced projects from the Google AI Language team.

Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

LSTM and QRNN Language Model Toolkit for PyTorch 1.2.0!

Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"

PyTorch implementation of Variational LSTM and Monte Carlo dropout.

Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

The official gpt4free repository | various collection of powerful language models

This repository contains the two datasets introduced in the paper "Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature" accepted in EMNLP 2022.

https://arxiv.org/pdf/1909.04054

Code for our Paper, 'Summaformers @ LaySumm 20, LongSumm 20' at EMNLP 2020, Scholarly Document Processing Workshop

The code repository for the paper "Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization".

Easier Automatic Sentence Simplification Evaluation

✍️ A carefully curated list of NLP paper summaries

Science-parse version 2

Science Parse parses scientific papers (in PDF form) and returns them in structured form.

Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

Code to reproduce the experiments from the paper.

LongSumm - Scientific Document Summarization Task

Datasets I have created for scientific summarization, and a trained BertSum model

A Abstractive Summarization Implementation with Transformer and Pointer-generator

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.