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@FactCheck-AI

FactCheck

Fact Check Benchmark -- Knowledge Graph (KG) fact verfication using LLMs.

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Advancing automated Knowledge Graph (KG) fact verification through Large Language Models (LLMs).

📂 Key Repositories

  • FactCheck -- Benchmark: Main repository for "FactCheck Benchmark" -- KG Validation via LLMs
  • Exploration: Web-based platform enabling users to inspect every step involved in the RAG for the KG fact-checking.
  • MockAPI: A REST API for the FactCheck benchmark, designed to evaluate LLMs' capabilities in KG fact verification. It provides all the data through the MockAPI.

🔍 FactCheck-AI News

🔍 What We Do

We focus on creating systems that:

  • Verify factual claims by cross-referencing structured knowledge bases.
  • Utilize Retrieval-Augmented Generation to enhance the accuracy of fact-checking processes.
  • Employ multiple LLMs to assess and validate information effectively.

🌐 Learn More

🤝 Contributing

To get involved:

  1. Explore our repositories and familiarize yourself with our work.
  2. Check the issues section for tasks labeled "good first issue" or "help wanted."
  3. Fork the repository, make your changes, and submit a pull request.

📫 Contact Us

We are part of the Intelligent Information Integration and Analysis (IIIA) research group at the Department of Information Engineering (DEI) of the University of Padua.

For inquiries, collaborations, or more information, please reach out through our contact page or open an issue in the relevant repository.

Logo credit: ChatGpt.

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  1. FactCheck FactCheck Public

    FactCheck, a general-purpose benchmark that is designed to verify facts in KG using LLMs (including both open-source and commercial ones).

    Python

  2. FactCheck-MockAPI FactCheck-MockAPI Public

    The FactCheck MockAPI.

    Python

  3. FactCheck-Exploration FactCheck-Exploration Public

    [Frontend] -- Web-based platform enabling users to inspect every step involved in the RAG methodology for KG fact-checking process

    HTML

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