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arXiv:2601.18437v1 Announce Type: new Abstract: This paper presents a series of general properties of the r-Complexity calculus, a complexity measurement for assessing the performance and...
arXiv:2601.18438v1 Announce Type: new Abstract: Automatic speech quality assessment has become increasingly important as modern speech generation systems continue to advance, while human listening tests...
arXiv:2601.18440v1 Announce Type: new Abstract: A private information retrieval protocol (PIR) scheme under an arbitrary collusion pattern $\mathcal{P}$ enables a client to retrieve one message...
arXiv:2601.18441v1 Announce Type: new Abstract: We study the document exchange problem under multiple substring edits. A substring edit in a string $\mathbf{x}$ occurs when a...
arXiv:2601.18442v1 Announce Type: new Abstract: Autonomous vehicle safety validation requires testing on safety-critical scenarios, but these events are rare in real-world driving and costly to...
arXiv:2601.18445v1 Announce Type: new Abstract: Fully Homomorphic Encryption (FHE) enables privacy preserving computation but it suffers from high latency and memory consumption. The computations are...
arXiv:2601.18446v2 Announce Type: new Abstract: Evolutionary algorithms (EAs) are increasingly implemented on graphics processing units (GPUs) to leverage parallel processing capabilities for enhanced efficiency. However,...
arXiv:2601.18447v1 Announce Type: new Abstract: Deep graph learning models have demonstrated remarkable capabilities in processing graph-structured data and have been widely applied across various fields....
arXiv:2601.18448v1 Announce Type: new Abstract: Geometric morphometrics (GMM) is widely used to quantify shape variation, more recently serving as input for machine learning (ML) analyses....
arXiv:2601.18450v1 Announce Type: new Abstract: We investigate the existence of heavy columns in binary matrices with distinct rows. A column of an m x n...
arXiv:2601.18451v1 Announce Type: new Abstract: Generating holistic co-speech gestures that integrate full-body motion with facial expressions suffers from semantically incoherent coordination on body motion and...
arXiv:2601.18454v1 Announce Type: new Abstract: In this work we propose, {analyze}, and validate a stabilized finite element method for a flow problem arising from the...
arXiv:2601.18456v1 Announce Type: new Abstract: Real-world audio recordings often contain multiple speakers and various degradations, which limit both the quantity and quality of speech data...
arXiv:2601.18457v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated strong potential for generative recommendation by leveraging rich semantic knowledge. However, existing LLM-based recommender...
arXiv:2601.18462v1 Announce Type: new Abstract: The climate crisis requires responses that integrate scientific, ethical, social, and technological perspectives. Artificial intelligence (AI) has emerged as a...
arXiv:2601.18463v1 Announce Type: new Abstract: The Navier-Stokes-Cahn-Hilliard (NSCH) system governs the diffuse-interface dynamics of two incompressible and immiscible fluids. We consider a relaxation approximation of...
arXiv:2601.18464v1 Announce Type: new Abstract: Glaucoma is a top cause of irreversible blindness globally, making early detection and longitudinal follow-up pivotal to preventing permanent vision...
arXiv:2601.18467v1 Announce Type: new Abstract: Deep research agents have shown remarkable potential in handling long-horizon tasks. However, state-of-the-art performance typically relies on online reinforcement learning...
arXiv:2601.18468v1 Announce Type: new Abstract: Large language models store biomedical facts with uneven strength after pretraining: some facts are present in the weights but are...
arXiv:2601.18471v1 Announce Type: new Abstract: Finite-aperture constraints render array design nontrivial and can undermine the effectiveness of classical sparse geometries. This letter provides universal guidance...
arXiv:2601.18475v1 Announce Type: new Abstract: Free-Viewpoint Video (FVV) reconstruction enables photorealistic and interactive 3D scene visualization; however, real-time streaming is often bottlenecked by sparse-view inputs,...
arXiv:2601.18477v1 Announce Type: new Abstract: Background: Machine learning algorithms are widely used to predict defect prone software components. In this literature, computational experiments are the...
arXiv:2601.18479v1 Announce Type: new Abstract: Deep reinforcement learning has proven to be a powerful approach to solving control tasks, but its characteristic high-frequency oscillations make...
arXiv:2601.18483v1 Announce Type: new Abstract: Large Language Models (LLMs) offer strong generative capabilities, but many applications require explicit and \textit{fine-grained} control over specific textual concepts,...