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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...
arXiv:2602.19309v1 Announce Type: new Abstract: While large language models (LLMs) have emerged as powerful decision-makers across a wide range of single-agent and stationary environments, fewer...
arXiv:2602.19310v1 Announce Type: new Abstract: The rapid adoption of AI has led the growth of computational demand, with large language models (LLMs) at the forefront...
arXiv:2602.19312v1 Announce Type: new Abstract: The upcoming sixth Generation (6G) of wireless networks envisions ultra-low latency and energy efficient Edge Inference (EI) for diverse Internet...
arXiv:2602.19313v1 Announce Type: new Abstract: While Vision-Language-Action (VLA) models have seen rapid progress in pretraining, their advancement in Reinforcement Learning (RL) remains hampered by low...
arXiv:2602.19314v1 Announce Type: new Abstract: The image purification strategy constructs an intermediate distribution with aligned anatomical structures, which effectively corrects the spatial misalignment between real-world...
arXiv:2602.19316v1 Announce Type: new Abstract: Unified Speech Recognition (USR) has emerged as a semi-supervised framework for training a single model for audio, visual, and audiovisual...
arXiv:2602.19317v1 Announce Type: new Abstract: Personalization in Question Answering (QA) requires answers that are both accurate and aligned with users' background, preferences, and historical context....
arXiv:2602.19319v1 Announce Type: new Abstract: Managing personal health data is a challenge in today's fragmented and institution-centric healthcare ecosystem. Individuals often lack meaningful control over...
arXiv:2602.19320v1 Announce Type: new Abstract: Agentic memory systems enable large language model (LLM) agents to maintain state across long interactions, supporting long-horizon reasoning and personalization...
arXiv:2602.19322v1 Announce Type: new Abstract: Ultrasound (US) imaging poses unique challenges for representation learning due to its inherently noisy acquisition process. The low signal-to-noise ratio...