esdurmus / feqa

Related projects ⓘ

Alternatives and complementary repositories for feqa

• tagoyal / dae-factuality
  ☆27Updated last year
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆52Updated last year
• W4ngatang / qags
  Question Answering and Generation for Summarization
  ☆68Updated 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
  ☆22Updated 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
• tagoyal / factuality-datasets
  ☆45Updated last year
• stangelid / qt
  ☆41Updated 3 years ago
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆81Updated 3 years ago
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆63Updated 3 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• neulab / REALSumm
  REALSumm: Re-evaluating Evaluation in Text Summarization
  ☆71Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• ThomasScialom / QuestEval
  ☆91Updated 8 months ago
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• mcao516 / EntFA
  ☆25Updated 2 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆45Updated 2 years ago
• GXimingLu / a_star_neurologic
  ☆42Updated last year
• wangpf3 / Commonsense-Path-Generator
  ☆34Updated 4 years ago
• kite99520 / DialSummEval
  Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"
  ☆14Updated last year
• jcyk / AMR-gs
  AMR Parsing via Graph-Sequence Iterative Inference
  ☆70Updated last year
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• dapascual / K2T
  ☆70Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆22Updated 7 months 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
• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 2 years ago
• tomerwolgithub / Break
  ☆45Updated last year
• GXimingLu / neurologic_decoding
  ☆80Updated last year
• vidhishanair / FactEdit
  ☆14Updated last year
• dmis-lab / excord
  Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)
  ☆31Updated last year