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arXiv:2603.04364v1 Announce Type: new Abstract: Multimodal web agents that process both screenshots and accessibility trees are increasingly deployed to interact with web interfaces, yet their...
arXiv:2603.04366v1 Announce Type: new Abstract: Generative audio requires fine-grained controllable outputs, yet most existing methods require model retraining on specific controls or inference-time controls (\textit{e.g.},...
arXiv:2603.04367v1 Announce Type: new Abstract: Privacy policies are long, complex, and rarely read, which limits their effectiveness in informed consent. We investigate scrollytelling, a scroll-driven...
arXiv:2603.04368v1 Announce Type: new Abstract: Accurate channel estimation is essential for massive multiple-input multiple-output (MIMO) technologies in next-generation wireless communications. Recently, the radio radiance field...
arXiv:2603.04370v1 Announce Type: new Abstract: Conversational agents are increasingly deployed in knowledge-intensive settings, where correct behavior depends on retrieving and applying domain-specific knowledge from large,...
arXiv:2603.04378v1 Announce Type: new Abstract: As Large Language Models (LLMs) transition into autonomous multi-agent ecosystems, robust minimax training becomes essential yet remains prone to instability...
arXiv:2603.04379v1 Announce Type: new Abstract: We introduce Helios, the first 14B video generation model that runs at 19.5 FPS on a single NVIDIA H100 GPU...
arXiv:2603.04380v1 Announce Type: new Abstract: Traditional vision-language models struggle with contrastive fine-grained taxonomic reasoning, particularly when distinguishing between visually similar species within the same genus...
arXiv:2603.04381v1 Announce Type: new Abstract: Low Latency, Low Loss, and Scalable Throughput (L4S) is an emerging paradigm for latency control based on DualPI2 active queue...
arXiv:2603.04383v1 Announce Type: new Abstract: YouTube has evolved into a powerful platform that where creators monetize their influence through affiliate marketing, raising concerns about transparency...
arXiv:2603.04384v1 Announce Type: new Abstract: Deep Research agents are rapidly emerging as primary consumers of modern retrieval systems. Unlike human users who issue and refine...
arXiv:2603.04385v1 Announce Type: new Abstract: Feed-forward transformer models have driven rapid progress in 3D vision, but state-of-the-art methods such as VGGT and $\pi^3$ have a...
arXiv:2603.04390v1 Announce Type: new Abstract: WebGIS development requires rigor, yet agentic AI frequently fails due to five large language model (LLM) limitations: context constraints, cross-session...
arXiv:2603.04393v1 Announce Type: new Abstract: In this work, we present bayesgrid, an open-source python toolbox for generating synthetic power transmission-distribution systems for any geographical location...
arXiv:2603.04395v1 Announce Type: new Abstract: Data assimilation (DA) combines model forecasts and observations to estimate the optimal state of the atmosphere with its uncertainty, providing...
arXiv:2603.04399v1 Announce Type: new Abstract: Human motion prediction combines the tasks of trajectory forecasting and human pose prediction. For each of the two tasks, specialized...
arXiv:2502.03300v2 Announce Type: cross Abstract: Wi-Fi 7 introduces the restricted target wake time (RTWT) mechanism, which is vital for Industrial IoT (IIoT) applications requiring periodic,...
arXiv:2603.03342v1 Announce Type: cross Abstract: Learning robust representations of 3D shapes from voxelized data is essential for advancing AI methods in biomedical imaging. However, most...
arXiv:2603.03343v1 Announce Type: cross Abstract: We propose NEURONA, a neuro-symbolic framework for fMRI decoding and concept grounding in neural activity. Leveraging image- and video-based fMRI...
arXiv:2603.03344v1 Announce Type: cross Abstract: Earthquake detection and seismic phase picking are fundamental yet challenging tasks in seismology due to low signal-to-noise ratios, waveform variability,...
arXiv:2603.03346v1 Announce Type: cross Abstract: Modeling the unsaturated behavior of porous materials with multimodal pore size distributions presents significant challenges, as standard hydraulic models often...
arXiv:2603.03350v1 Announce Type: cross Abstract: Manual measurement of muscle morphology from ultrasound during speech is time-consuming and limits large-scale studies. We present SMMA, a fully...
arXiv:2603.03352v1 Announce Type: cross Abstract: The International Physics Olympiad (IPhO) is the world's most prestigious and renowned physics competition for pre-university students. IPhO problems require...
arXiv:2603.03354v1 Announce Type: cross Abstract: Although obtaining deep brain activity from non-invasive scalp electroencephalography (sEEG) is crucial for neuroscience and clinical diagnosis, directly generating high-fidelity...