Alternatives and similar repositories for frank

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

• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated 2 years ago
• tagoyal / factuality-datasets
  ☆46Updated 2 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…
  ☆84Updated 5 years ago
• Yale-LILY / ROSE
  ☆39Updated 2 years ago
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆57Updated 2 years ago
• vidhishanair / FactEdit
  ☆14Updated 2 years ago
• tingofurro / summac
  Codebase, data and models for the SummaC paper in TACL
  ☆108Updated last year
• McGill-NLP / FaithDial
  ☆50Updated 2 years ago
• mcao516 / Factual-Error-Correction
  ☆24Updated 3 years ago
• mcao516 / EntFA
  ☆27Updated 3 years ago
• W4ngatang / qags
  Question Answering and Generation for Summarization
  ☆71Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• goodbai-nlp / AMRBART
  Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022
  ☆104Updated last year
• Yale-LILY / QMSum
  Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
  ☆142Updated 2 years ago
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆44Updated 3 years ago
• dapascual / K2T
  ☆71Updated 4 years ago
• GXimingLu / a_star_neurologic
  ☆44Updated 2 years ago
• GXimingLu / neurologic_decoding
  ☆83Updated 2 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 4 years ago
• salesforce / QAFactEval
  ☆55Updated 2 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• stangelid / qt
  ☆44Updated 4 years ago
• yangkevin2 / naacl-2021-fudge-controlled-generation
  ☆101Updated 3 years ago
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆62Updated 3 years ago
• hover-nlp / hover
  ☆18Updated 5 years ago
• Yale-LILY / dart
  Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
  ☆157Updated 3 years ago
• ThomasScialom / QuestEval
  ☆103Updated last year
• morningmoni / GAR
  Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking fo…
  ☆74Updated 3 years ago