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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,...
arXiv:2601.18486v1 Announce Type: new Abstract: Demographic probing is widely used to study how large language models (LLMs) adapt their behavior to signaled demographic attributes. This...
arXiv:2601.18492v1 Announce Type: new Abstract: Vision-and-Language Navigation (VLN) requires an embodied agent to navigate in a complex 3D environment according to natural language instructions. Recent...
arXiv:2601.18493v1 Announce Type: new Abstract: Timely interpretation of satellite imagery is critical for disaster response, yet existing vision-language benchmarks for remote sensing largely focus on...
arXiv:2601.18494v1 Announce Type: new Abstract: Walking is a key movement of interest in biomechanics, yet gold-standard data collection methods are time- and cost-expensive. This paper...
arXiv:2601.18496v1 Announce Type: new Abstract: Medical reasoning models remain constrained by parametric knowledge and are thus susceptible to forgetting and hallucinations. DeepResearch (DR) models ground...
arXiv:2601.18497v1 Announce Type: new Abstract: With the prevalence of mobile data visualizations, there have been growing concerns about their privacy risks, especially shoulder surfing attacks....
arXiv:2601.18498v1 Announce Type: new Abstract: Major Depressive Disorder (MDD) is a clinically heterogeneous syndrome with diverse etiological pathways. Traditional Epigenome-Wide Association Studies (EWAS) have successfully...
arXiv:2601.18500v2 Announce Type: new Abstract: Structural missingness breaks 'just impute and train': values can be undefined by causal or logical constraints, and the mask may...
arXiv:2601.18505v1 Announce Type: new Abstract: In this paper, we discretize the Caputo time derivative of order \alpha \in (0,1) using the Alikhanov scheme on a...
arXiv:2601.18509v1 Announce Type: new Abstract: Reliable uncertainty quantification is of critical importance in time series forecasting, yet traditional methods often rely on restrictive distributional assumptions....