Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 38,791 to 38,800 of 223,469 articles

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

arXiv Mar 25, 2026
Document parsing has recently advanced with multimodal large language models (MLLMs) that directly map document images to structured outputs. Traditional cascaded pipelines depend on precise layout analysis and often fail under casually captured or n... read more 
Computer Vision and Pattern Recognition

MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation

arXiv Mar 25, 2026
End-to-end text-image machine translation (TIMT), which directly translates textual content in images across languages, is crucial for real-world multilingual scene understanding. Despite advances in vision-language large models (VLLMs), robustness a... read more 
Computer Vision and Pattern Recognition

Latent Bias Alignment for High-Fidelity Diffusion Inversion in Real-World Image Reconstruction and Manipulation

arXiv Mar 25, 2026
Recent research has shown that text-to-image diffusion models are capable of generating high-quality images guided by text prompts. But can they be used to generate or approximate real-world images from the seed noise? This is known as the diffusion ... read more 
Computer Vision and Pattern Recognition cs.AI

GenMask: Adapting DiT for Segmentation via Direct Mask

arXiv Mar 25, 2026
Recent approaches for segmentation have leveraged pretrained generative models as feature extractors, treating segmentation as a downstream adaptation task via indirect feature retrieval. This implicit use suffers from a fundamental misalignment in r... read more 
Computer Vision and Pattern Recognition

GenMask: Adapting DiT for Segmentation via Direct Mask Generation

arXiv Mar 25, 2026
Recent approaches for segmentation have leveraged pretrained generative models as feature extractors, treating segmentation as a downstream adaptation task via indirect feature retrieval. This implicit use suffers from a fundamental misalignment in r... read more 
Computer Vision and Pattern Recognition

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding

arXiv Mar 25, 2026
Large Vision-Language Models (VLMs) have achieved remarkable success in multi-modal reasoning, but their inference time efficiency remains a significant challenge due to the memory overhead during decoding, especially when the query and answer of VLM... read more 
Computer Vision and Pattern Recognition cs.LG

DepthArb: Training-Free Depth-Arbitrated Generation for Occlusion-Robust Image Synthesis

arXiv Mar 25, 2026
Text-to-image diffusion models frequently exhibit deficiencies in synthesizing accurate occlusion relationships of multiple objects, particularly within dense overlapping regions. Existing training-free layout-guided methods predominantly rely on rig... read more 
Computer Vision and Pattern Recognition

DP^2-VL: Private Photo Dataset Protection by Data Poisoning for Vision-Language Models

arXiv Mar 25, 2026
Recent advances in visual-language alignment have endowed vision-language models (VLMs) with fine-grained image understanding capabilities. However, this progress also introduces new privacy risks. This paper first proposes a novel privacy threat mod... read more 
Computer Vision and Pattern Recognition

Revealing Multi-View Hallucination in Large Vision-Language Models

arXiv Mar 25, 2026
Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. However, despite this growing use, current LVLMs often confuse or mismatch visual information originating from different ... read more 
Computer Vision and Pattern Recognition cs.AI

Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development

arXiv Mar 25, 2026
Evidence-based medicine (EBM) is central to high-quality care, but remains difficult to implement in fast-paced primary care settings. Physicians face short consultations, increasing patient loads, and lengthy guideline documents that are impractical... read more 
Computation and Language cs.LG
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