Artificial Intelligence Medical Compendium

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

Showing 47,311 to 47,320 of 224,199 articles

NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors

arXiv Feb 25, 2026
Object hallucination is a critical issue in Large Vision-Language Models (LVLMs), where outputs include objects that do not appear in the input image. A natural question arises from this phenomenon: Which component of the LVLM pipeline primarily cont... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

CoLoGen: Progressive Learning of Concept`-`Localization Duality for Unified Image Generation

arXiv Feb 25, 2026
Unified conditional image generation remains difficult because different tasks depend on fundamentally different internal representations. Some require conceptual understanding for semantic synthesis, while others rely on localization cues for spatia... read more 
Computer Vision and Pattern Recognition

CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation

arXiv Feb 25, 2026
Unified conditional image generation remains difficult because different tasks depend on fundamentally different internal representations. Some require conceptual understanding for semantic synthesis, while others rely on localization cues for spatia... read more 
Computer Vision and Pattern Recognition

Dynamic Personality Adaptation in Large Language Models via State Machines

arXiv Feb 25, 2026
The inability of Large Language Models (LLMs) to modulate their personality expression in response to evolving dialogue dynamics hinders their performance in complex, interactive contexts. We propose a model-agnostic framework for dynamic personality... read more 
Computation and Language cs.HC cs.LG

Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology

arXiv Feb 25, 2026
In recent years, a standard computational pathology workflow has emerged where whole slide images are cropped into tiles, these tiles are processed using a foundation model, and task-specific models are built using the resulting representations. At l... read more 
Computer Vision and Pattern Recognition

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

arXiv Feb 25, 2026
Modelling rock-fluid interaction requires solving a set of partial differential equations (PDEs) to predict the flow behaviour and the reactions of the fluid with the rock on the interfaces. Conventional high-fidelity numerical models require a high ... read more 
Machine Learning cs.AI physics.flu-dyn

Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes

arXiv Feb 25, 2026
Advances in Generative AI (GenAI) have led to the development of various protection strategies to prevent the unauthorized use of images. These methods rely on adding imperceptible protective perturbations to images to thwart misuse such as style mim... read more 
Computer Vision and Pattern Recognition cs.AI

Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin

arXiv Feb 25, 2026
The real-time supervision of production processes is a common challenge across several industries. It targets process component monitoring and its predictive maintenance in order to ensure safety, uninterrupted production and maintain high efficiency... read more 
Machine Learning

AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning

arXiv Feb 25, 2026
Quantization followed by parameter-efficient fine-tuning has emerged as a promising paradigm for downstream adaptation under tight GPU memory constraints. However, this sequential pipeline fails to leverage the intricate interaction between quantizat... read more 
Machine Learning

RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval

arXiv Feb 25, 2026
Multimodal information retrieval (MMIR) has gained attention for its flexibility in handling text, images, or mixed queries and candidates. Recent breakthroughs in multimodal large language models (MLLMs) boost MMIR performance by incorporating MLLM ... read more 
Information Retrieval cs.LG
Popular Topics
Recent Journals