Title3Vec
Title3Vec is a machine learning model designed for understanding and ranking arXiv papers using title embeddings. It utilizes advanced vector representations to enhance information retrieval and document relevance scoring.
Features
• Title-based paper ranking • High-quality vector embeddings • Enhanced information retrieval capabilities
Use Cases
• Identifying relevant research papers • Improving academic search engines • Automating literature reviews
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