Alternatives and similar repositories for OASum

Users that are interested in OASum are comparing it to the libraries listed below

• Adaxry / Post-Instruction
  ☆21Updated last year
• AkariAsai / unanswerable_qa
  The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
  ☆27Updated 4 years ago
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆42Updated 2 years ago
• facebookresearch / ketod
  KETOD Knowledge-Enriched Task-Oriented Dialogue
  ☆32Updated 2 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• cooelf / Paper_Writing_Tips
  ☆12Updated 3 years ago
• HLTCHKUST / KnowExpert
  The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".
  ☆17Updated 3 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆39Updated 2 years ago
• facebookresearch / ELECTRA-Fewshot-Learning
  This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.
  ☆48Updated 3 years ago
• qqaatw / pytorch-realm-orqa
  PyTorch reimplementation of REALM and ORQA
  ☆22Updated 3 years ago
• MichaelZhouwang / Sequence_Span_Rewriting
  Code for EMNLP 2021 paper: Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
  ☆17Updated 3 years ago
• facebookresearch / Zero-Shot-DST
  Zero-shot dialogue state tracking (DST)
  ☆82Updated 3 years ago
• shuo-git / InfECE
  ☆20Updated 4 years ago
• mcao516 / rej-summ
  ☆8Updated 2 years ago
• nlpods / LayerAttPooler
  Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
  ☆9Updated 2 years ago
• thunlp / ConvDR
  Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
  ☆41Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆25Updated last year
• ShaojieJiang / CT-Loss
  The contrastive token loss function for reducing generative repetition of autoregressive neural language models.
  ☆13Updated 3 years ago
• Chen-Wang-CUHK / Training-Free-and-Ref-Free-Summ-Evaluation
  The source code of our ACL paper "A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance an…
  ☆14Updated 2 years ago
• krystalan / ClidSum
  EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
  ☆36Updated last year
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 3 years ago
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆44Updated 2 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆62Updated 2 years ago
• kanekomasahiro / eb-gec
  ☆15Updated 3 years ago
• monologg / EncT5
  Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks
  ☆63Updated 3 years ago
• littlehacker26 / Discriminator-Cooperative-Unlikelihood-Prompt-Tuning
  The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…
  ☆26Updated last year
• FUZHIYI / TACO
  Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"
  ☆33Updated 2 years ago
• gmftbyGMFTBY / SimpleReDial-v1
  The sources codes of the DR-BERT model and baselines
  ☆38Updated 3 years ago
• facebookresearch / reconsider
  ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…
  ☆49Updated 4 years ago