FacTool: Factuality Detection in Generative AI
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Updated
Aug 19, 2024 - Python
FacTool: Factuality Detection in Generative AI
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
Detecting Deepfakes Without Seeing Any
Source code of MapChecking.com
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
OSINT resources and tools by country, structured for fact-checkers and digital profilers
Development environment for Meedan Check, a collaborative media annotation platform
GraphQL API server for clients like rumors-site and rumors-line-bot
This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.
This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.
Rumors list / creation UI, with server-side rendering
🔎 CaptainFact - Frontend. The one you see on https://captainfact.io
Adversarial Training on Transformer Networks to discover check-worthy factual claims
Line bot that checks if a message contains internet rumor.
SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking
📚 Documentation, wiki and community discussions
An easy to use framework for large-scale fact-checking and question answering
Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"
Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
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