Artificial Intelligence Medical Compendium

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

Showing 20,791 to 20,800 of 216,088 articles

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping

arXiv May 11, 2026
Recently, post-training methods based on reinforcement learning, with a particular focus on Group Relative Policy Optimization (GRPO), have emerged as the robust paradigm for further advancement of text-to-image (T2I) models. However, these methods a... read more 
Computer Vision and Pattern Recognition

ELF: Embedded Language Flows

arXiv May 11, 2026
Diffusion and flow-based models have become the de facto approaches for generating continuous data, e.g., in domains such as images and videos. Their success has attracted growing interest in applying them to language modeling. Unlike their image-dom... read more 
Computation and Language cs.AI cs.LG

Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models

arXiv May 11, 2026
Large vision-language models (VLMs) demonstrate strong performance in medical image understanding, but frequently generate clinically plausible yet incorrect statements, raising significant safety concerns. Existing medical hallucination benchmarks p... read more 
Computer Vision and Pattern Recognition

Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout

arXiv May 11, 2026
Optical readout in low-light imaging is fundamentally limited by measurement noise, including photon shot noise, detector noise, and quantization error. In this regime, downstream inference depends not only on the optical front end, but also on how n... read more 
Optics cs.CV cs.ET

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation

arXiv May 11, 2026
Query-based image retrieval (QBIR) requires retrieving relevant images given diverse and often stylistically heterogeneous queries, such as sketches, artworks, or low-resolution previews. While large-scale vision--language representation models (VLRM... read more 
Computer Vision and Pattern Recognition

The Value of Mechanistic Priors in Sequential Decision Making

arXiv May 11, 2026
Hybrid mechanistic models, physical priors with learned residuals, promise to reduce the data required for good decisions, but have no computable criterion to test this. We characterize the value of mechanistic priors in sequential decision-making wi... read more 
Machine Learning

Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection

arXiv May 11, 2026
The rapid evolution of generative paradigms has enabled the creation of highly realistic imagery, which escalating the risks of identity fraud and the dissemination of disinformation. Most existing approaches frame face forgery detection as a fully s... read more 
Computer Vision and Pattern Recognition

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models

arXiv May 11, 2026
Visual Autoregressive (VAR) models have emerged as a strong alternative to diffusion for image synthesis, yet their fixed training resolution prevents direct generation at higher resolutions. Naively transferring training-free extrapolation methods f... read more 
Computer Vision and Pattern Recognition

EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs

arXiv May 11, 2026
Long-form video understanding remains challenging for Video Large Language Models (VideoLLMs), as the dense frame sampling introduces massive visual tokens while sparse sampling risks missing critical temporal evidence and leading to LLM hallucinatio... read more 
Computer Vision and Pattern Recognition

Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging

arXiv May 11, 2026
Deep neural networks for medical image diagnosis often achieve high predictive accuracy while relying on spurious or clinically irrelevant visual cues, limiting their trustworthiness in practice. Post-hoc explanation methods are widely used to visual... read more 
Computer Vision and Pattern Recognition
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