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arXiv:2602.12806v1 Announce Type: new Abstract: Data containing personal information is increasingly used to train, fine-tune, or query Large Language Models (LLMs). Text is typically scrubbed...
arXiv:2602.12810v1 Announce Type: new Abstract: A reader browsing through an online article is highly likely to encounter an advertorial, often without realizing it. Advertorials represent...
arXiv:2602.12811v1 Announce Type: new Abstract: When humans and large language models (LLMs) process the same text, activations in the LLMs correlate with brain activity measured,...
arXiv:2602.12816v1 Announce Type: new Abstract: The stochastic Cahn-Hilliard equation driven by a fractional Brownian sheet provides a more accurate model for correlated space-time random perturbations....
arXiv:2602.12818v1 Announce Type: new Abstract: Detecting reclaimed slurs represents a fundamental challenge for hate speech detection systems, as the same lexcal items can function either...
arXiv:2602.12819v1 Announce Type: new Abstract: In this paper, we present WISE, an open-source audiovisual search engine which integrates a range of multimodal retrieval capabilities into...
arXiv:2602.12825v1 Announce Type: new Abstract: Operating System (OS) fingerprinting is critical for network security, but conventional methods do not provide formal uncertainty quantification mechanisms. Conformal...
arXiv:2602.12828v1 Announce Type: new Abstract: Predicting future clinical events from longitudinal electronic health records (EHRs) is challenging due to sparse multi-type clinical events, hierarchical medical...
arXiv:2602.12829v1 Announce Type: new Abstract: Iterative generative policies, such as diffusion models and flow matching, offer superior expressivity for continuous control but complicate Maximum Entropy...
arXiv:2602.12830v1 Announce Type: new Abstract: We study decentralized equilibrium selection in stochastic games under severe information and communication constraints. In such settings, convergence to equilibrium...
arXiv:2602.12833v1 Announce Type: new Abstract: Large Language Models (LLMs) encode extensive medical knowledge but struggle to apply it reliably to longitudinal patient trajectories, where evolving...
arXiv:2602.12834v1 Announce Type: new Abstract: As mobile application (app) functionalities grow increasingly complex and their iterations accelerate, ensuring high reliability presents significant challenges. While functionality-oriented...
arXiv:2602.12838v1 Announce Type: new Abstract: The success of surveillance applications involving small unmanned aerial vehicles (UAVs) depends on how long the limited on-board power would...
arXiv:2602.12841v1 Announce Type: new Abstract: Cell-free massive multi-input multi-output (MIMO) promises uniform high performance across the network, but also brings a high energy cost due...
arXiv:2602.12843v1 Announce Type: new Abstract: Radiological diagnosis is a perceptual process in which careful visual inspection and language reasoning are repeatedly interleaved. Most medical large...
arXiv:2602.12846v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has established itself as the dominant paradigm for instilling rigorous reasoning capabilities in Large...
arXiv:2602.12847v1 Announce Type: new Abstract: Heterogeneous embedded systems, with diverse computing elements and accelerators such as FPGAs, offer a promising platform for fast and flexible...
arXiv:2602.12850v1 Announce Type: new Abstract: We propose two easy-to-implement fast algorithms based on moment-matching to compute the nonlocal potential $\varphi(\textbf{x})=(U\ast \rho)(\textbf{x})$ on bounded domain, where...
arXiv:2602.12851v1 Announce Type: new Abstract: Deploying expressive learning models directly on programmable dataplanes promises line-rate, low-latency traffic analysis but remains hindered by strict hardware constraints...
arXiv:2602.12852v1 Announce Type: new Abstract: Deep Research systems based on web agents have shown strong potential in solving complex information-seeking tasks, yet their search efficiency...
arXiv:2602.12856v1 Announce Type: new Abstract: This study examines the extent to which structural constraints specified in conceptual schemas are represented after transformation to logical schemas....
arXiv:2602.12866v1 Announce Type: new Abstract: Task-Oriented Source Coding (TOSC) has emerged as a paradigm for efficient visual data communication in machine-centric inference systems, where bitrate,...
arXiv:2602.12869v1 Announce Type: new Abstract: Wake vortices are strong, coherent air turbulences created by aircraft, and they pose a major safety and capacity challenge for...
arXiv:2602.12871v1 Announce Type: new Abstract: We introduce MentalBench, a benchmark for evaluating psychiatric diagnostic decision-making in large language models (LLMs). Existing mental health benchmarks largely...