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arXiv:2602.13868v1 Announce Type: new Abstract: New generations of radio access networks (RAN), especially with native AI services are increasingly difficult for human engineers to manage...
arXiv:2602.13869v1 Announce Type: new Abstract: The U.S. public health system increased life expectancy by more than 30 years since 1900 through systematic data collection, evidence-based...
arXiv:2602.13870v1 Announce Type: new Abstract: The growing importance of culturally-aware natural language processing systems has led to an increasing demand for resources that capture sociopragmatic...
arXiv:2602.13873v1 Announce Type: new Abstract: In many scientific settings, acquiring complete observations of PDE coefficients and solutions can be expensive, hazardous, or impossible. Recent diffusion-based...
arXiv:2602.13874v1 Announce Type: new Abstract: Existing assistive technologies (AT) often adopt a one-size-fits-all approach, overlooking the diverse needs of people with visual impairments (PVI). Do-it-yourself...
arXiv:2602.13878v1 Announce Type: new Abstract: Multi-agent systems are designed to deal with open, distributed systems with unpredictable dynamics, which makes them inherently hard to test....
arXiv:2602.13880v1 Announce Type: new Abstract: Graph property detection aims to determine whether a graph exhibits certain structural properties, such as being Hamiltonian. Recently, learning-based approaches...
arXiv:2602.13882v1 Announce Type: new Abstract: The past decade has witnessed the burgeoning and continuous development of blockchain and its applications. Besides various cryptocurrencies, an industry...
arXiv:2602.13887v1 Announce Type: new Abstract: We previously investigated color constancy in photorealistic virtual reality (VR) and developed a Deep Neural Network (DNN) that predicts reflectance...
arXiv:2602.13889v1 Announce Type: new Abstract: We present a font classification system capable of identifying 394 font families from rendered text images. Our approach fine-tunes a...
arXiv:2602.13890v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) is a powerful approach for enhancing the factual grounding of language models by integrating external knowledge....
arXiv:2602.13891v1 Announce Type: new Abstract: Recent advances in speech language models, such as GPT-4o Voice Mode and Gemini Live, have demonstrated promising speech generation capabilities....
arXiv:2602.13896v1 Announce Type: new Abstract: Voltage stability in modern power systems involves coupled dynamics across multiple time scales. Conventional methods based on time-scale separation or...
arXiv:2602.13897v1 Announce Type: new Abstract: We study revenue-optimal pricing in data markets with rational, budget-constrained buyers. Such a market offers multiple datasets for sale, and...
arXiv:2602.13898v1 Announce Type: new Abstract: Given the promising future of autonomous vehicles, it is foreseeable that self-driving cars will soon emerge as the predominant mode...
arXiv:2602.13900v1 Announce Type: new Abstract: Accurate state estimation in Unmanned Aerial Vehicles (UAVs) is crucial for ensuring reliable and safe operation, as anomalies occurring during...
arXiv:2602.13901v1 Announce Type: new Abstract: In this paper, we propose RPGD (RANSAC-P3P Gradient Descent), a human-pose-driven extrinsic calibration framework that robustly aligns MoCap-based 3D skeletal...
arXiv:2602.13904v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning is fundamental to modern LLM architectures and represents a critical intervention point for AI safety. However, CoT...
arXiv:2602.13905v1 Announce Type: new Abstract: Recent advances in Automatic Text Recognition (ATR) have improved access to historical archives, yet a methodological divide persists between palaeographic...
arXiv:2602.13909v1 Announce Type: new Abstract: Planetary exploration increasingly relies on autonomous robotic systems capable of perceiving, interpreting, and reconstructing their surroundings in the absence of...
arXiv:2602.13910v1 Announce Type: new Abstract: Algorithmic stability is a classical framework for analyzing the generalization error of learning algorithms. It predicts that an algorithm has...
arXiv:2602.13912v1 Announce Type: new Abstract: We introduce LaySPA, a reinforcement learning framework that equips large language models (LLMs) with explicit and interpretable spatial reasoning for...
arXiv:2602.13914v1 Announce Type: new Abstract: There has been an increasing interest in topological semantics for epistemic logic, which has been shown to be useful for,...
arXiv:2602.13915v1 Announce Type: new Abstract: Location information extracted from mobile devices has been largely exploited to reveal our routines, significant places, and interests just to...