Alternatives and similar repositories for extractive_is_not_faithful

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

• 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
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• AkariAsai / unanswerable_qa
  The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
  ☆28Updated 4 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
• McGill-NLP / FaithDial
  ☆51Updated 2 years ago
• google / BEGIN-dataset
  A benchmark dataset for evaluating dialog system and natural language generation metrics.
  ☆38Updated 3 years ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆29Updated 3 years ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 3 years ago
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆26Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆27Updated last year
• SiyuanWangw / StepwiseQA
  The code of Paper "Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering".
  ☆21Updated 2 years ago
• HLTCHKUST / KnowExpert
  The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".
  ☆17Updated 3 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated 2 years ago
• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 3 years ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆29Updated last year
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• thunlp / ConvDR
  Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
  ☆43Updated 3 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated 2 years ago
• Adaxry / Post-Instruction
  ☆21Updated last year
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• luka-group / SuRE
  [EMNLP 2022] Summarization as Indirect Supervision for Relation Extraction (SuRE)
  ☆28Updated 2 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆58Updated 2 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• LanD-FBK / benchmark-gen-explanations
  Codes for "Benchmarking the Generation of Fact Checking Explanations"
  ☆10Updated last year
• 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
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆24Updated 3 years ago
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆62Updated 2 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