Parsers SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion Paper • 2503.11576 • Published Mar 14, 2025 • 150 mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding Paper • 2409.03420 • Published Sep 5, 2024 • 26
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion Paper • 2503.11576 • Published Mar 14, 2025 • 150
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding Paper • 2409.03420 • Published Sep 5, 2024 • 26
Test time scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper • 2408.03314 • Published Aug 6, 2024 • 63
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper • 2408.03314 • Published Aug 6, 2024 • 63
Parsers SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion Paper • 2503.11576 • Published Mar 14, 2025 • 150 mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding Paper • 2409.03420 • Published Sep 5, 2024 • 26
SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion Paper • 2503.11576 • Published Mar 14, 2025 • 150
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding Paper • 2409.03420 • Published Sep 5, 2024 • 26
Test time scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper • 2408.03314 • Published Aug 6, 2024 • 63
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper • 2408.03314 • Published Aug 6, 2024 • 63
