Artificial Intelligence Medical Compendium

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

Showing 63,671 to 63,680 of 230,801 articles

Contextual StereoSet: Stress-Testing Bias Alignment Robustness in Large Language Models

arXiv Jan 15, 2026
A model that avoids stereotypes in a lab benchmark may not avoid them in deployment. We show that measured bias shifts dramatically when prompts mention different places, times, or audiences -- no adversarial prompting required. We introduce Contex... read more 
Computation and Language cs.AI cs.CY cs.LG

ChartComplete: A Taxonomy-based Inclusive Chart Dataset

arXiv Jan 15, 2026
With advancements in deep learning (DL) and computer vision techniques, the field of chart understanding is evolving rapidly. In particular, multimodal large language models (MLLMs) are proving to be efficient and accurate in understanding charts. To... read more 
Artificial Intelligence cs.CV

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

arXiv Jan 15, 2026
The rapid evolution of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) has driven major gains in reasoning, perception, and generation across language and vision, yet whether these advances translate into comparable improvem... read more 
Artificial Intelligence cs.CL cs.CV cs.LG

Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning

arXiv Jan 15, 2026
Images captured in hazy and smoky environments suffer from reduced visibility, posing a challenge when monitoring infrastructures and hindering emergency services during critical situations. The proposed work investigates the use of the deep learning... read more 
Computer Vision and Pattern Recognition

Inference-time Physics Alignment of Video Generative Models with Latent World Models

arXiv Jan 15, 2026
State-of-the-art video generative models produce promising visual content yet often violate basic physics principles, limiting their utility. While some attribute this deficiency to insufficient physics understanding from pre-training, we find that t... read more 
Computer Vision and Pattern Recognition

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery

arXiv Jan 15, 2026
The efficacy of autonomous driving systems hinges critically on robust prediction and planning capabilities. However, current benchmarks are impeded by a notable scarcity of scenarios featuring dense traffic, which is essential for understanding and ... read more 
Computer Vision and Pattern Recognition

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

arXiv Jan 15, 2026
Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current unlearning methods conflate behavioral suppression with true knowledge removal, allowing latent capabilities to persist beneath surface-level refusals... read more 
Computation and Language cs.LG

Jordan-Segmentable Masks: A Topology-Aware definition for characterizing Binary Image Segmentation

arXiv Jan 15, 2026
Image segmentation plays a central role in computer vision. However, widely used evaluation metrics, whether pixel-wise, region-based, or boundary-focused, often struggle to capture the structural and topological coherence of a segmentation. In many ... read more 
Computer Vision and Pattern Recognition math.AT math.NA

RSATalker: Realistic Socially-Aware Talking Head Generation for Multi-Turn Conversation

arXiv Jan 15, 2026
Talking head generation is increasingly important in virtual reality (VR), especially for social scenarios involving multi-turn conversation. Existing approaches face notable limitations: mesh-based 3D methods can model dual-person dialogue but lack ... read more 
Computer Vision and Pattern Recognition

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

arXiv Jan 15, 2026
Today's strongest video-language models (VLMs) remain proprietary. The strongest open-weight models either rely on synthetic data from proprietary VLMs, effectively distilling from them, or do not disclose their training data or recipe. As a result, ... read more 
Computer Vision and Pattern Recognition cs.AI
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