Unverified50% confidenceFactExact time
HAD-VLM adopts a hybrid autoregressive-diffusion architecture that retains both an autoregressive text generation pathway and a diffusion-based continuous prediction pathway within a shared backbone.
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10/26/2026
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UnverifiedAfter introducing diffusion prediction, HAD-VLM's medical question-answering performance is preserved on the evaluation datasets.69% similarUnverifiedRepresentative discrete diffusion works include the Masked Diffusion Language Model (MDLM) and its subsequent improvements, and have been applied to the generation of structured data such as code and protein sequences.68% similarUnverified多模态大模型（VLM）通过视觉编码器将patch转为高维向量并结合语言先验补全内容，与传统OCR基于局部决策并在置信度低时报错的行为有本质区别68% similarUnverifiedHAD-VLM proposes a coordinate-length consistency post-processing mechanism that cross-checks the distance computed from endpoint coordinates against the predicted length, combined with ensemble prediction refinement.67% similarUnverifiedVLM (Vision-Language Model)-based parsing may produce drift across different runs (inter-run drift), causing the same file to yield inconsistent outputs on two separate occasions.66% similar
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