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Fine-tuning low-bit models can be both efficient and deployment-faithful, thanks to a new optimization technique that leverages code surrogate gradients.
Agents can significantly enhance retrieval performance in visually rich document environments, achieving a 67.50% Recall@1 compared to just 37.50% for OCR-text methods.