Artificial Intelligence Medical Compendium

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

Showing 36,291 to 36,300 of 223,137 articles

Steerable Visual Representations

arXiv Apr 2, 2026
Pretrained Vision Transformers (ViTs) such as DINOv2 and MAE provide generic image features that can be applied to a variety of downstream tasks such as retrieval, classification, and segmentation. However, such representations tend to focus on the m... read more 
Computer Vision and Pattern Recognition cs.AI

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation

arXiv Apr 2, 2026
Language models (LMs) are increasingly extended with new learnable vocabulary tokens for domain-specific tasks, such as Semantic-ID tokens in generative recommendation. The standard practice initializes these new tokens as the mean of existing vocabu... read more 
Computation and Language cs.AI cs.LG

Beyond Referring Expressions: Scenario Comprehension Visual Grounding

arXiv Apr 2, 2026
Existing visual grounding benchmarks primarily evaluate alignment between image regions and literal referring expressions, where models can often succeed by matching a prominent named category. We explore a complementary and more challenging setting ... read more 
Computer Vision and Pattern Recognition

AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging

arXiv Apr 2, 2026
Surface registration plays an important role for anatomical shape analysis in medical imaging. Existing surface registration methods often face a trade-off between efficiency and robustness. Local point matching methods are computationally efficient,... read more 
Computer Vision and Pattern Recognition math.OC

Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation

arXiv Apr 2, 2026
Recent multimodal large language models have achieved strong performance in unified text and image understanding and generation, yet extending such native capability to 3D remains challenging due to limited data. Compared to abundant 2D imagery, high... read more 
Computer Vision and Pattern Recognition cs.AI

De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules

arXiv Apr 2, 2026
Regulatory documents encode legally binding obligations that LLM-based systems must respect. Yet converting dense, hierarchically structured legal text into machine-readable rules remains a costly, expert-intensive process. We present De Jure, a full... read more 
Artificial Intelligence cs.CL cs.LG

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

arXiv Apr 2, 2026
Generative models for crystalline materials often rely on equivariant graph neural networks, which capture geometric structure well but are costly to train and slow to sample. We present Crystalite, a lightweight diffusion Transformer for crystal mod... read more 
Machine Learning cs.AI

Modular Energy Steering for Safe Text-to-Image Generation with Foundation Models

arXiv Apr 2, 2026
Controlling the behavior of text-to-image generative models is critical for safe and practical deployment. Existing safety approaches typically rely on model fine-tuning or curated datasets, which can degrade generation quality or limit scalability. ... read more 
Computer Vision and Pattern Recognition

SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation

arXiv Apr 2, 2026
Foundational Vision Transformers (ViTs) have limited effectiveness in tasks requiring fine-grained spatial understanding, due to their fixed pre-training resolution and inherently coarse patch-level representations. These challenges are especially pr... read more 
Computer Vision and Pattern Recognition

QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and Generative Modeling

arXiv Apr 2, 2026
Inferring cell-cell communication (CCC) from single-cell transcriptomics remains fundamentally limited by reliance on curated ligand-receptor databases, which primarily capture co-expression rather than the system-level effects of signaling on cellul... read more 
Emerging Technologies physics.bio-ph physics.data-an q-bio.GN
Popular Topics
Recent Journals