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arXiv:2602.17271v1 Announce Type: new Abstract: Semantic communication aims to convey meaning for effective task execution, but differing latent representations in AI-native devices can cause semantic...
arXiv:2602.17276v1 Announce Type: new Abstract: Reinforcement learning (RL) is a subfield of machine learning that focuses on developing models that can autonomously learn optimal decision-making...
arXiv:2602.17277v1 Announce Type: new Abstract: High-resolution satellite imagery is indispensable for tracking the genesis, intensification, and trajectory of tropical cyclones (TCs). However, existing deep learning-based...
arXiv:2602.17280v1 Announce Type: new Abstract: We bring to light how some asylum seekers and refugees arriving in the UK experience border control and wider immigration...
arXiv:2602.17282v1 Announce Type: new Abstract: Processing sensory data close to the data source, often involving Edge devices, promises low latency for pervasive applications, like smart...
arXiv:2602.17283v1 Announce Type: new Abstract: While large language models (LLMs) have become pivotal to content safety, current evaluation paradigms primarily focus on detecting explicit harms...
arXiv:2602.17284v1 Announce Type: new Abstract: We consider the privacy amplification properties of a sampling scheme in which a user's data is used in $k$ steps...
arXiv:2602.17287v1 Announce Type: new Abstract: Modern neural translation models based on the Transformer architecture are known for their high performance, particularly when trained on high-resource...
arXiv:2602.17288v1 Announce Type: new Abstract: While frontier large language models demonstrate strong reasoning and mathematical capabilities, the practical process of training domain-specialized scientific language models...
arXiv:2602.17290v1 Announce Type: new Abstract: Anemia is a prevalent hematological disorder that requires frequent hemoglobin monitoring for early diagnosis and effective management. Conventional hemoglobin assessment...
arXiv:2602.17293v1 Announce Type: new Abstract: Artificial intelligence systems increasingly generate text intended to provide social and emotional support. Understanding how users perceive empathic qualities in...
arXiv:2602.17294v1 Announce Type: new Abstract: We show that two geometric cover problems in the plane, related to covering points with disjoint line segments, are NP-complete....
arXiv:2602.17297v1 Announce Type: new Abstract: Nonlinear system identificationhas proven to be effective in obtaining accurate models from data for complex real-world systems. In particular, recent...
arXiv:2602.17301v1 Announce Type: new Abstract: Cryptographic security is traditionally formulated using game-based or simulation-based definitions. In this paper, we propose a structural reformulation of cryptographic...
arXiv:2602.17307v1 Announce Type: new Abstract: The Fischlin transform yields non-interactive zero-knowledge proofs with straight-line extractability in the classical random oracle model. This is done by...
arXiv:2602.17308v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for diagnostic tasks in medicine. In clinical practice, the correct diagnosis can rarely...
arXiv:2602.17309v1 Announce Type: new Abstract: A prefix code L satisfies the condition that no word of L is a proper prefix of another word of...
arXiv:2602.17310v1 Announce Type: new Abstract: Accurate grasping point prediction is a key challenge for autonomous tissue manipulation in minimally invasive surgery, particularly in complex and...
arXiv:2602.17312v1 Announce Type: new Abstract: Offline safe reinforcement learning (RL) is increasingly important for cyber-physical systems (CPS), where safety violations during training are unacceptable and...
arXiv:2602.17314v1 Announce Type: new Abstract: Open datasets play a crucial role in three research domains that intersect data science and education: learning analytics, educational data...
arXiv:2602.17315v1 Announce Type: new Abstract: We introduce Flickering Multi-Armed Bandits (FMAB), a new MAB framework where the set of available arms (or actions) can change...
arXiv:2602.17316v1 Announce Type: new Abstract: The rapid advancement of Large Language Models (LLMs) has established standardized evaluation benchmarks as the primary instrument for model comparison....
arXiv:2602.17318v1 Announce Type: new Abstract: Optimizing resource utilization in high-performance computing (HPC) clusters is essential for maximizing both system efficiency and user satisfaction. However, traditional...
arXiv:2602.17320v1 Announce Type: new Abstract: Quantum computing has gained significant attention due to its potential to solve computational problems beyond the capabilities of classical computers....