The Alignment Navigation Problem
AI alignment research has grown rapidly, with over 45,000 papers published since 2018, making it difficult for both newcomers and experienced researchers to navigate the fragmented landscape. Traditional paper databases rely on precise keyword searches, limiting exploratory discovery.
Our Solution: LLM-Powered Knowledge Graph
We've built an interactive knowledge graph that clusters thousands of AI safety papers using advanced Large Language Models (LLMs). Unlike traditional clustering methods, our tool captures nuanced conceptual relationships, creating a semantic map of the research landscape.
- ✨Semantic Clusters
Discover meaningful topics grouped by advanced language understanding, not just keywords or citations.
- 🕸️Interactive Exploration
Visually navigate connections between topics, uncovering hidden insights and related research effortlessly.
- 🚀Rapid Orientation
Quickly grasp essential concepts with concise, LLM-generated summaries of key subtopics.
Built by the Community, for the Community
Our platform is fully open-source, driven by community contributions and feedback. Whether you're a researcher, student, or AI alignment enthusiast, your participation helps shape the future of AI safety navigation.
What's Next?
- 🔍 Enhanced Visualization: Improved layouts that highlight emerging research areas and hidden connections.
- 🧠 Advanced Clustering: Refined LLM techniques to provide more accurate and useful topic groupings.
- ♻️ Dynamic Updates: Automated integration of newly published research papers.
