Alternatives and similar repositories for FactEdit:

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

• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆52Updated 2 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• dmis-lab / excord
  Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)
  ☆32Updated 2 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆47Updated last year
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• tagoyal / factuality-datasets
  ☆45Updated last year
• Yale-LILY / ROSE
  ☆36Updated last year
• xiaolinAndy / RODS
  The repository for ACL 2022 paper: Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions
  ☆26Updated 2 years ago
• morningmoni / EDE
  Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021 and "…
  ☆18Updated 2 years ago
• W4ngatang / qags
  Question Answering and Generation for Summarization
  ☆68Updated 2 years ago
• salesforce / QGen
  ☆33Updated last year
• iitmnlp / EvalEval
  Perturbation CheckLists for Evaluating NLG Evaluation Metrics, EMNLP 2021
  ☆9Updated 2 years ago
• iriscxy / FES
  ☆28Updated 2 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆23Updated 9 months ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• CogComp / faithful_summarization
  ☆15Updated 3 years ago
• McGill-NLP / FaithDial
  ☆48Updated last year
• mcao516 / Factual-Error-Correction
  ☆24Updated 2 years ago
• ChenxinAn-fdu / CGSum
  [AAAI'21] Code and dataset for our paper: Enhancing Scientific Papers Summarization with Citation Graph
  ☆23Updated 2 years ago
• tencent-ailab / season
  [EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization
  ☆25Updated last year
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆27Updated 3 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• orhonovich / q-squared
  ☆29Updated 3 years ago
• mcao516 / EntFA
  ☆25Updated 2 years ago
• kite99520 / DialSummEval
  Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"
  ☆14Updated 2 years ago