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arXiv:2602.13675v1 Announce Type: new Abstract: Current Explainable AI (XAI) focuses on explaining a single application, but when encountering related applications, users may rely on their...
arXiv:2602.13680v1 Announce Type: new Abstract: Large Language Models (LLMs) encounter significant performance bottlenecks in long-sequence tasks due to the computational complexity and memory overhead inherent...
arXiv:2602.13681v1 Announce Type: new Abstract: Environmental pollution is a critical global issue, with recycling emerging as one of the most viable solutions. This study focuses...
arXiv:2602.13682v1 Announce Type: new Abstract: A Software Bill of Materials (SBOM) is a key component for the transparency of software supply chain; it is a...
arXiv:2602.13684v1 Announce Type: new Abstract: Correlation Clustering (CC) is a fundamental unsupervised learning primitive whose strongest LP-based approximation guarantees require $\Theta(n^3)$ triangle inequality constraints and...
arXiv:2602.13685v1 Announce Type: new Abstract: Large Audio Language Models (LALMs) excel at perception but struggle with complex reasoning requiring precise acoustic measurements. While external tools...
arXiv:2602.13687v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) with the intrinsic three-dimensional (3D) mobility provides an ideal platform for implementing aerial movable antenna (AMA)...
arXiv:2602.13689v1 Announce Type: new Abstract: Insertion tasks in robotic manipulation demand precise, contact-rich interactions that vision alone cannot resolve. While tactile feedback is intuitively valuable,...
arXiv:2602.13690v1 Announce Type: new Abstract: Magnetic-anomaly navigation, leveraging small-scale variations in the Earth's magnetic field, is a promising alternative when GPS is unavailable or compromised....
arXiv:2602.13691v1 Announce Type: new Abstract: Recent advancements in Large Language Model (LLM) agents have demonstrated strong capabilities in executing complex tasks through tool use. However,...
arXiv:2602.13692v1 Announce Type: new Abstract: Large language models(LLMs) are now used to power complex multi-turn agentic workflows. Existing systems run agentic inference by loosely assembling...
arXiv:2602.13693v1 Announce Type: new Abstract: Corneal Confocal Microscopy (CCM) is a sensitive tool for assessing small-fiber damage in Diabetic Peripheral Neuropathy (DPN), yet the development...
arXiv:2602.13695v1 Announce Type: new Abstract: Large language models (LLMs) have recently achieved remarkable success in generating rigorous mathematical proofs, with "AI for Math" emerging as...
arXiv:2602.13697v1 Announce Type: new Abstract: Relational databases (RDBs) contain vast amounts of heterogeneous tabular information that can be exploited for predictive modeling purposes. But since...
arXiv:2602.13699v1 Announce Type: new Abstract: Large language models (LLMs) often generate plausible yet incorrect answers, posing risks in safety-critical settings such as medicine. Human evaluation...
arXiv:2602.13700v1 Announce Type: new Abstract: We present the first high-probability optimal regret bound for a policy optimization technique applied to the problem of stochastic contextual...
arXiv:2602.13701v1 Announce Type: new Abstract: Metaphors are a distinctive feature of literary language, yet they remain less studied experimentally than everyday metaphors. Moreover, previous psycholinguistic...
arXiv:2602.13704v1 Announce Type: new Abstract: In this work, we presented Pailitao-VL, a comprehensive multi-modal retrieval system engineered for high-precision, real-time industrial search. We here address...
arXiv:2602.13706v1 Announce Type: new Abstract: We introduce \texttt{OPO-CMDP}, the first policy optimization algorithm for stochastic Contextual Markov Decision Process (CMDPs) under general offline function approximation....
arXiv:2602.13710v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models enable instruction-following embodied control, but their large compute and memory footprints hinder deployment on resource-constrained robots and...
arXiv:2602.13712v1 Announce Type: new Abstract: Soil-transmitted helminth (STH) infections continuously affect a large proportion of the global population, particularly in tropical and sub-tropical regions, where...
arXiv:2602.13713v1 Announce Type: new Abstract: Identifying the strategic uses of reformulation in discourse remains a key challenge for computational argumentation. While LLMs can detect surface-level...
arXiv:2602.13715v1 Announce Type: new Abstract: Sequential Recommender Systems (SRS) aim to predict users' next interaction based on their historical behaviors, while still facing the challenge...
arXiv:2602.13717v1 Announce Type: new Abstract: The purpose of this study was to examine, from the perspective of secondary education students, the educational affordances and constraints...