Fact-checking system for textual and visual inputs.
Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".
Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.
Verify claims using AI agents that debate using scraped evidence and local language models.
Official repository of FEVER@ACL 2025 paper "When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification"
Codes for Paper "Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation"
ML enginering capstone project for automated citation verification
Add a description, image, and links to the claim-verification topic page so that developers can more easily learn about it.
To associate your repository with the claim-verification topic, visit your repo's landing page and select "manage topics."