Alternatives and similar repositories for faithful-data2text-cycle-training

Users that are interested in faithful-data2text-cycle-training are comparing it to the libraries listed below

• mcao516 / EntFA
  ☆26Updated 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
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated last year
• thu-coai / CTRLEval
  Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)
  ☆33Updated 3 years ago
• WadeYin9712 / GeoMLAMA
  ☆15Updated 2 years ago
• ChenxinAn-fdu / CGSum
  [AAAI'21] Code and dataset for our paper: Enhancing Scientific Papers Summarization with Citation Graph
  ☆25Updated 2 years ago
• yangyiben / G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning
  ☆15Updated 4 years ago
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated last year
• CambridgeNLIP / verification-real-world-info-needs
  ☆20Updated 2 years ago
• thunlp / CodRED
  ☆30Updated 3 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
• ellenmellon / INSCIT
  INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
  ☆15Updated 4 months ago
• goodbai-nlp / AMRBART
  Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022
  ☆98Updated last year
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• tagoyal / dae-factuality
  ☆27Updated 2 years ago
• Betswish / Cross-Lingual-Consistency
  Easy-to-use framework for evaluating cross-lingual consistency of factual knowledge (Supported LLaMA, BLOOM, mT5, RoBERTa, etc.) Paper he…
  ☆23Updated 2 months ago
• GXimingLu / a_star_neurologic
  ☆43Updated 2 years ago
• exe1023 / DialEvalMetrics
  ☆62Updated 2 years ago
• sion-zcfei / CQG
  The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
  ☆23Updated 2 years ago
• HKUST-KnowComp / CSKB-Population
  Codes for the EMNLP2021 paper: Benchmarking Commonsense Knowledge Base Population (https://aclanthology.org/2021.emnlp-main.705.pdf). An …
  ☆26Updated last year
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆45Updated last year
• mcao516 / Factual-Error-Correction
  ☆24Updated 3 years ago
• 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
• zycdev / AISO
  Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.
  ☆37Updated 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 3 years ago
• Mayer123 / UDT-QA
  Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)
  ☆57Updated last year
• AndrewZhe / Revisit-DocRED
  ☆17Updated 3 years ago