Alternatives and similar repositories for ProgramFC

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

• mbzuai-nlp / ProgramFC
  Code for the ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆57Updated 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 2 years ago
• jifan-chen / subquestions-for-fact-checking
  Code and dataset for the paper: Generating Literal and Implied Subquestions to Fact-check Complex Claims
  ☆30Updated 2 years ago
• hover-nlp / hover
  ☆18Updated 5 years ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆42Updated 2 years ago
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• MichSchli / AVeriTeC
  ☆71Updated last year
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆75Updated 3 years ago
• LanD-FBK / benchmark-gen-explanations
  Codes for "Benchmarking the Generation of Fact Checking Explanations"
  ☆10Updated last year
• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• CambridgeNLIP / verification-real-world-info-needs
  ☆22Updated 2 years ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆98Updated 2 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…
  ☆48Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 11 months ago
• GXimingLu / neurologic_decoding
  ☆83Updated 2 years ago
• jasenchn / checkwhy
  ☆11Updated last year
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆23Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆177Updated last year
• yanaiela / pararel
  ☆48Updated 2 years ago
• realtimeqa / realtimeqa_public
  ☆84Updated this week
• jaehunjung1 / Maieutic-Prompting
  ☆50Updated 2 years ago
• Yale-LILY / ROSE
  ☆39Updated 2 years ago
• zhudotexe / fanoutqa
  Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)
  ☆59Updated 4 months ago
• McGill-NLP / FaithDial
  ☆50Updated 3 years ago
• hiaoxui / soft-prompts
  ☆89Updated 3 years ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆28Updated last year
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆83Updated 3 years ago
• WadeYin9712 / GeoMLAMA
  ☆15Updated 3 years ago