Fact-checking system for textual and visual inputs.
A retrieval-augmented generation-based framework for automatically constructing a hierarchy of aspects typically considered when addressing a nuanced claim and enriching them with corpus-specific perspectives.
Official repository of FEVER@ACL 2025 paper "When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification"
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.
These notebooks analyze daily trends in online news coverage, examining news volume, topic distribution, source reliability, disinformation tactics, check-worthy claims, and visual-text alignment.
ML enginering capstone project for automated citation verification
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