Alternatives and similar repositories for q-squared

Users that are interested in q-squared are comparing it to the libraries listed below

• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• 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
• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 2 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆55Updated 2 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆25Updated last year
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆39Updated 2 years ago
• tagoyal / factuality-datasets
  ☆46Updated 2 years ago
• jifan-chen / QA-Verification-Via-NLI
  Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"
  ☆25Updated last year
• 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
• 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
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• AkariAsai / unanswerable_qa
  The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
  ☆27Updated 3 years ago
• swj0419 / kNN_prompt
  TBC
  ☆27Updated 2 years ago
• tagoyal / dae-factuality
  ☆27Updated 2 years ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated last year
• lil-lab / bandit-qa
  Code for the paper "Simulating Bandit Learning from User Feedback for Extractive Question Answering".
  ☆18Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• vidhishanair / FactEdit
  ☆14Updated last year
• kite99520 / DialSummEval
  Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"
  ☆15Updated 2 years ago
• google / BEGIN-dataset
  A benchmark dataset for evaluating dialog system and natural language generation metrics.
  ☆37Updated 2 years ago
• mcao516 / Factual-Error-Correction
  ☆24Updated 3 years ago
• thunlp / ConvDR
  Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"
  ☆41Updated 3 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• yanaiela / pararel
  ☆44Updated last year
• neulab / REALSumm
  REALSumm: Re-evaluating Evaluation in Text Summarization
  ☆71Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year