facebookresearch / bart_ls

Related projects ⓘ

Alternatives and complementary repositories for bart_ls

• morganmcg1 / rotobart
  Pre-training BART in Flax on The Pile dataset
  ☆20Updated 3 years ago
• laihuiyuan / pre-trained-formality-transfer
  Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
  ☆30Updated 2 years ago
• dapascual / K2T
  ☆70Updated 3 years ago
• Mivg / SLED
  The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper
  ☆67Updated last year
• alisawuffles / DExperts
  code associated with ACL 2021 DExperts paper
  ☆114Updated last year
• andrejmiscic / simcls-pytorch
  PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"
  ☆16Updated 3 years ago
• Yale-LILY / QMSum
  Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
  ☆110Updated last year
• facebookresearch / ELECTRA-Fewshot-Learning
  This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.
  ☆45Updated 2 years ago
• dmis-lab / GeNER
  Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)
  ☆76Updated last year
• monologg / EncT5
  Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks
  ☆63Updated 2 years ago
• jordiclive / ControlPrefixes
  ☆90Updated 7 months ago
• tomhosking / hrq-vae
  Hierarchical Sketch Induction for Paraphrase Generation (Hosking et al., ACL 2022)
  ☆51Updated last year
• oriram / spider
  ☆55Updated last year
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆136Updated last year
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆61Updated last year
• yxuansu / Contrastive_Search_Is_What_You_Need
  [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation
  ☆118Updated last year
• CogComp / faithful_summarization
  ☆15Updated 3 years ago
• lvyiwei1 / StylePTB
  ☆60Updated last year
• zycdev / AISO
  Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.
  ☆37Updated last year
• amazon-science / fact-check-summarization
  ☆77Updated 6 months ago
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆63Updated 3 years ago
• qqaatw / pytorch-realm-orqa
  PyTorch reimplementation of REALM and ORQA
  ☆22Updated 2 years ago
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• oriram / splinter
  ☆92Updated 3 years ago
• cosmoquester / transformers-bart-pretrain
  Script to pre-train hugginface transformers BART with Tensorflow 2
  ☆33Updated last year
• VanderpoelLiam / CPMI
  Mutual Information Predicts Hallucinations in Abstractive Summarization
  ☆11Updated 2 years ago
• cambridgeltl / ACL2022_tutorial_multilingual_dialogue
  Materials for "Natural Language Processing for Multilingual Task-Oriented Dialogue" Tutorial at ACL 2022
  ☆14Updated 2 years ago
• salesforce / query-focused-sum
  Official code repository for "Exploring Neural Models for Query-Focused Summarization".
  ☆48Updated last year
• microsoft / COCO-LM
  [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
  ☆118Updated last year