Alternatives and similar repositories for subquestions-for-fact-checking

Users that are interested in subquestions-for-fact-checking are comparing it to the libraries listed below

• teacherpeterpan / ProgramFC
  Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆31Updated 2 years ago
• XinyuanLu00 / QACheck
  About Data and Codes for EMNLP 2023 System Demo Paper "QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking"
  ☆19Updated last year
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• hover-nlp / hover
  ☆17Updated 4 years ago
• mbzuai-nlp / ProgramFC
  Code for the ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆56Updated 2 years ago
• LanD-FBK / benchmark-gen-explanations
  Codes for "Benchmarking the Generation of Fact Checking Explanations"
  ☆10Updated 11 months ago
• khuangaf / CONCRETE
  Official implementation of "CONCRETE: Improving Cross-lingual Fact Checking with Cross-lingual Retrieval" (COLING'22)
  ☆17Updated 2 years ago
• CambridgeNLIP / verification-real-world-info-needs
  ☆20Updated 2 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆57Updated 2 years ago
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated last year
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆25Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• MichSchli / AVeriTeC
  ☆60Updated 7 months ago
• tingofurro / summac
  Codebase, data and models for the SummaC paper in TACL
  ☆97Updated 5 months ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆94Updated last year
• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• mcao516 / EntFA
  ☆26Updated 2 years ago
• neemakot / Health-Fact-Checking
  Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
  ☆61Updated 4 years ago
• matt-seb-ho / WikiWhy
  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…
  ☆47Updated last year
• Raldir / FEVEROUS
  Repository for Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), accepted to NeurIPS 2021 Dataset…
  ☆72Updated last year
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 4 months ago
• Yale-LILY / ROSE
  ☆39Updated 2 years ago
• thcheung / FactLLaMA
  [APSIPA ASC 2023] The official code of paper, "FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Au…
  ☆17Updated last year
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆72Updated 3 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
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• yrf1 / LLM-MassiveMulticultureNormsKnowledge-NCLB
  ☆17Updated 4 months ago
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆43Updated 2 years ago
• jasenchn / checkwhy
  ☆11Updated 9 months 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