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.
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.
Table-Text Alignment: Explaining Claim Verification
An AI-powered system for automated academic peer review. Upload a PDF, and the assistant analyzes novelty, plagiarism, factual accuracy, claim mapping, and citation quality (via GROBID). Includes an optional Deep Search mode to fetch and index new papers for comparison
The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts
Intell Weave is a production-minded, scalable news platform that ingests the web, understands content (text + media), verifies claims, and serves hyper-personalized, explainable feeds — all powered by modern NLP, embeddings, and clean engineering.
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