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arXiv:2602.19254v1 Announce Type: new Abstract: Precise spatial control in diffusion-based style transfer remains challenging. This challenge arises because diffusion models treat style as a global...
arXiv:2602.19260v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently been proposed as a pathway toward generalist robotic policies capable of interpreting natural language and...
arXiv:2602.19261v1 Announce Type: new Abstract: Reinforcement learning fine-tuning has proven effective for steering generative diffusion models toward desired properties in image and molecular domains. Graph...
arXiv:2602.19265v1 Announce Type: new Abstract: Solving partial differential equations (PDEs) by neural networks as well as Kolmogorov-Arnold Networks (KANs), including physics-informed neural networks (PINNs), physics-informed...
arXiv:2602.19268v1 Announce Type: new Abstract: This brief presents a runtime-adaptive, performance-enhanced vector engine featuring a low-resource, iterative CORDIC-based MAC unit for edge AI acceleration. The...
arXiv:2602.19270v1 Announce Type: new Abstract: Risk matrices (heatmaps) are widely used for information and cyber risk management and decision-making, yet they are often too coarse...
arXiv:2602.19271v1 Announce Type: new Abstract: Second-order optimizers can significantly accelerate large-scale training, yet their naive federated variants are often unstable or even diverge on non-IID...
arXiv:2602.19273v1 Announce Type: new Abstract: In this paper, we propose a novel vision-based control algorithm for regulating the whole body shape of extensible multisection soft...
arXiv:2602.19274v1 Announce Type: new Abstract: We introduce a gradient-free framework for identifying minimal, sufficient, and decision-preserving explanations in vision models by isolating the smallest subset...
arXiv:2602.19275v1 Announce Type: new Abstract: Large language models (LLMs) acquire a large amount of knowledge through pre-training on vast and diverse corpora. While this endows...
arXiv:2602.19276v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have demonstrated strong performance on the UI-to-code task, which aims to generate UI code from...
arXiv:2602.19278v1 Announce Type: new Abstract: Industrial fruit inspection systems must operate reliably under dense multi-object interactions and continuous motion, yet most existing works evaluate detection...
arXiv:2602.19281v1 Announce Type: new Abstract: The test-time compute strategy, such as Chain-of-Thought (CoT), has significantly enhanced the ability of large language models to solve complex...
arXiv:2602.19285v1 Announce Type: new Abstract: Clinical MRI contrast acquisition suffers from inefficient information yield, which presents as a mismatch between the risky and costly acquisition...
arXiv:2602.19289v1 Announce Type: new Abstract: Identifying low-energy adsorption geometries on catalytic surfaces is a practical bottleneck for computational heterogeneous catalysis: the difficulty lies not only...
arXiv:2602.19292v1 Announce Type: new Abstract: This paper analyzes Stackelberg Gaussian signaling games under linear sensitivity mismatch, generalizing standard additive and constant-bias models. We characterize the...
arXiv:2602.19294v1 Announce Type: new Abstract: Page Objects (POs) are a widely adopted design pattern for improving the maintainability and scalability of automated end-to-end web tests....
arXiv:2602.19296v1 Announce Type: new Abstract: This paper introduces a scalable causal inference framework for estimating the immediate, session-level effects of on-demand human tutoring embedded within...
arXiv:2602.19297v1 Announce Type: new Abstract: Microfluidic devices have emerged as powerful tools in various laboratory applications, but the complexity of their design limits accessibility for...
arXiv:2602.19298v1 Announce Type: new Abstract: Evaluating personalized, sequential treatment strategies for Alzheimer's disease (AD) using clinical trials is often impractical due to long disease horizons...
arXiv:2602.19303v1 Announce Type: new Abstract: The emergence of generative AI has accelerated the development of conversational tutoring systems that interact with students through natural language...
arXiv:2602.19304v1 Announce Type: new Abstract: Successful cooperation among decentralized agents requires each agent to quickly adapt its plan to the behavior of other agents. In...
arXiv:2602.19305v1 Announce Type: new Abstract: In this paper, our objective is to design, build, and verify a closed-loop environmental control system tailored for small-scale agriculture...
arXiv:2602.19308v1 Announce Type: new Abstract: Autonomous navigation in complex, unstructured outdoor environments requires robots to operate over long ranges without prior maps and limited depth...