Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM
Published:Nov 28, 2025 12:04
•1 min read
•ArXiv
Analysis
The article introduces a new method, Dripper, for extracting the main content from HTML documents using a lightweight Language Model (LM). The focus is on token efficiency, which is crucial for reducing computational costs and improving performance. The research likely explores the architecture and training of the LM, and evaluates its effectiveness compared to existing methods. The source being ArXiv suggests this is a research paper, indicating a focus on novel techniques and experimental validation.
Key Takeaways
- •Focus on token efficiency for HTML content extraction.
- •Utilizes a lightweight Language Model (LM).
- •Likely a research paper with experimental validation.
Reference
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