ChicagoHAI / decsum

Related projects ⓘ

Alternatives and complementary repositories for decsum

• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆40Updated 11 months ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆52Updated last year
• peterwestuw / surface-form-competition
  ☆58Updated 2 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
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• 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
• GXimingLu / neurologic_decoding
  ☆80Updated last year
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated last year
• tsor13 / kaleido
  ☆21Updated 8 months ago
• yanaiela / pararel
  ☆42Updated 10 months ago
• dykang / xslue
  ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy
  ☆13Updated 3 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆47Updated last year
• jzbjyb / X-FACTR
  ☆24Updated last year
• hover-nlp / hover
  ☆15Updated 3 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
• lil-lab / bandit-qa
  Code for the paper "Simulating Bandit Learning from User Feedback for Extractive Question Answering".
  ☆18Updated 2 years ago
• salesforce / QGen
  ☆33Updated last year
• Yale-LILY / ROSE
  ☆35Updated last year
• stangelid / qt
  ☆41Updated 3 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆19Updated 11 months ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆22Updated 7 months ago
• cultural-csk / candle
  Extracting Cultural Commonsense Knowledge at Scale (WWW 2023)
  ☆10Updated 9 months ago
• vidhishanair / FactEdit
  ☆14Updated last year
• ozyyshr / ShareGPT_investigation
  The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions (EMNLP 2023))
  ☆13Updated 11 months ago
• AkariAsai / evidentiality_qa
  The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
  ☆43Updated last year
• McGill-NLP / FaithDial
  ☆48Updated last year
• mcao516 / Factual-Error-Correction
  ☆24Updated 2 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