Recent Releases of clef2025-checkthat-lab-task2
clef2025-checkthat-lab-task2 - Release v1.0.0 - Initial Release
🚀 Release v1.0.0 - Initial Release
Release Date: June 7, 2025
📌 Overview
This initial release launches the Claim Extraction and Normalization System, developed for CLEF-2025 CheckThat! Lab Task 2. The system converts noisy social media posts into clear, normalized claims, significantly enhancing downstream fact-checking workflows.
🌟 Key Features
🎯 Interactive Web Application
Real-time claim normalization with streaming AI responses
Batch evaluation capability for datasets across various AI models (GPT-4, Claude, Gemini, Llama, Grok)
Modern user interface featuring dark mode and real-time evaluation tracking
⚙️ API Backend
RESTful endpoints with WebSocket integration for real-time updates
Efficient streaming text generation
Cross-Origin Resource Sharing (CORS) configured for seamless frontend integration
🧠 Advanced Normalization Techniques
Supports multiple prompting methods:
Zero-shot & Few-shot prompting
Chain-of-Thought (CoT) reasoning
Self-Refine iterative refinement
Cross-Refine multi-model collaborative refinement
Integrated METEOR scoring for automatic claim evaluation and quality assessment
🛠️ Technology Stack
Frontend: React, TypeScript, Vite, Tailwind CSS
Backend: FastAPI, WebSockets, Streaming Responses
AI Model Integration: OpenAI, Anthropic, Google Gemini, xAI Grok, Together.ai
Deployment: GitHub Pages (frontend), Render.com (backend)
🚦 Getting Started
[ ] Quickly set up your local environment using provided automation scripts (setup-project.sh and run-project.sh).
[ ] Check out the live demo here.
⚠️ Known Issues & Upcoming Roadmap
- Python SDK for API interaction is currently under development.
- Future updates will add Docker containerization, expanded AI model support, and additional evaluation metrics (LLM-as-a-judge).
🤝 Contribution & Licensing
Contributions are highly encouraged! This project is open-source and licensed under the MIT License.
📄 Full Changelog
Detailed commit history available here.
- Python
Published by Nikhil-Kadapala about 1 year ago