Popular GitHub Repositories for Claims

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

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.

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.

MEGA is a novel general purpose Genetic Algorithm frame work. That brings new Ideas and Features into the ML sphere such as transfer learning ,life long learning, and potentially open evolution. At the moment the code is still under development and investigation but I look forward to eventually validating the above claims.

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.

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

? EDA and ML on Health Insurance Claims

MCP server for analyzing claims, validating sources, and detecting manipulation using multiple epistemological frameworks

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

A lightweight, agent-style framework for fact-checking atomic claims using iterative retrieval and verification. Reduces LLM and search cost while maintaining strong factuality performance.

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

Insurance claim fraud detection using machine learning algorithms.

?? CER Demo: Fact-Checking Biomedical Claims. An automated system combining ? PubMed and ? Large Language Models to verify biomedical claims, generate justifications, and ensure accurate classifications with transparency and efficiency.

Helping to detect fraud in Automobile Insurance Claims using Python, ML and Neo4j Graph Database.

The platform features: Provide 24/7, personalized guidance on policy selection and claims via voice or chat. Ensure clear understanding of policy terms. Automate form-filling with Al for error-free applications and higher claim acceptance rates.

保险科技的自主工作流程 | 理赔处理 | 预约安排

Multiple methods for summarization of patent claims to generate a patent abstract

InstaCheck is a Chrome extension that helps users verify the authenticity of claims in Instagram Reels in real time.

Verify claims using AI agents that debate using scraped evidence and local language models.

Dedicated to independent, evidence-based inquiries into the state of algorithms. We challenge claims, verify facts, and hold the industry to account.