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DocAtlas is a framework that creates high-fidelity OCR datasets and benchmarks across 82 languages, using differential rendering and synthetic generation. It demonstrates that Direct Preference Optimization improves multilingual model adaptation without degrading base-language performance.
This paper introduces CASPO, a framework for aligning token-level confidence with step-wise logical correctness in large reasoning models using iterative Direct Preference Optimization. It also proposes Confidence-aware Thought (CaT) for dynamically pruning uncertain reasoning branches during inference to improve reliability and efficiency.