Baidu has released and open-sourced Unlimited OCR 2, an upgraded version of its optical character recognition model. This new version significantly reduces KV cache usage by approximately 96%, bringing it down to 1.77GB from 47GB for hundred-page documents. This optimization is achieved through a sparse reference sliding window attention mechanism (SR-SWA) and an unlimited decoding paradigm, allowing the model to process extremely long documents efficiently without a proportional increase in memory or computation. AI
IMPACT This release significantly improves long-document processing efficiency, potentially accelerating adoption in fields like legal tech, publishing, and archival.
RANK_REASON New model release from a major AI lab (Baidu) with significant technical advancements. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
- Baidu
- DeepEncoder
- GitHub
- Hugging Face
- KV Cache
- Page Gate
- Robert Swanepoel
- SR-SWA
- Token Sieve
- Unlimited-Horizon Decoding Paradigm
- Unlimited OCR
- Unlimited OCR 2
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