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arXiv:2602.19172v1 Announce Type: new Abstract: Realizable online regression can behave very differently from online classification. Even without any margin or stochastic assumptions, realizability may enforce...
arXiv:2602.19173v1 Announce Type: new Abstract: Reliable localization is a fundamental requirement for multi-robot systems operating in GPS-denied environments. Visual-inertial odometry (VIO) provides lightweight and accurate...
arXiv:2602.19174v1 Announce Type: new Abstract: Natural language processing for the Turkic language family, spoken by over 200 million people across Eurasia, remains fragmented, with most...
arXiv:2602.19177v1 Announce Type: new Abstract: The increasing use of Large Language Models (LLMs) as proxies for human participants in social science research presents a promising,...
arXiv:2602.19178v1 Announce Type: new Abstract: Deep learning models for medical image analysis often act as black boxes, seldom aligning with clinical guidelines or explicitly linking...
arXiv:2602.19179v1 Announce Type: new Abstract: Gaussian inference on smooth manifolds is central to robotics, but exact marginalization and conditioning are generally non-Gaussian and geometry-dependent. We...
arXiv:2602.19180v1 Announce Type: new Abstract: Human mesh recovery (HMR) from a single RGB image is inherently ambiguous, as multiple 3D poses can correspond to the...
arXiv:2602.19182v1 Announce Type: new Abstract: This paper further develops the Method of Matched Sections (MMS), a robust numerical framework for the solution of boundary value...
arXiv:2602.19183v1 Announce Type: new Abstract: Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend...
arXiv:2602.19184v1 Announce Type: new Abstract: Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly...
arXiv:2602.19187v1 Announce Type: new Abstract: We present a method for generating training data for reinforcement learning with verifiable rewards to improve small open-weights language models...
arXiv:2602.19188v1 Announce Type: new Abstract: In recent years, Multi-modal Large Language Models (MLLMs) have achieved strong performance in OCR-centric Visual Question Answering (VQA) tasks, illustrating...
arXiv:2602.19189v1 Announce Type: new Abstract: The decomposition of undirected graphs simplifies complex problems by breaking them into solvable subgraphs, following the philosophy of divide and...
arXiv:2602.19190v1 Announce Type: new Abstract: Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In...
arXiv:2602.19193v1 Announce Type: new Abstract: As one of the simplest non-prehensile manipulation skills, pushing has been widely studied as an effective means to rearrange objects....
arXiv:2602.19197v1 Announce Type: new Abstract: Retractions are the primary mechanism for correcting the scholarly record, yet publishers differ markedly in how they use them. We...
arXiv:2602.19198v1 Announce Type: new Abstract: Prompt tuning introduces learnable prompt vectors that adapt pretrained vision-language models to downstream tasks in a parameter-efficient manner. However, under...
arXiv:2602.19199v1 Announce Type: new Abstract: Non-fungible tokens (NFTs) on Ethereum currently follow a binary mobility paradigm: ERC-721 enables unrestricted transfers, whereas SBTs (ERC-5192) prohibit transfers...
arXiv:2602.19202v1 Announce Type: new Abstract: Event cameras excel at high-speed, low-power, and high-dynamic-range scene perception. However, as they fundamentally record only relative intensity changes rather...
arXiv:2602.19206v1 Announce Type: new Abstract: Zero-shot 3D Anomaly Detection is an emerging task that aims to detect anomalies in a target dataset without any target...
arXiv:2602.19207v1 Announce Type: new Abstract: Federated learning (FL) is a privacy-preserving machine learning paradigm that enables multiple parties to collaboratively train models on privately owned...
arXiv:2602.19208v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for Large Language Model (LLM) reasoning, yet current methods face key...
arXiv:2602.19212v1 Announce Type: new Abstract: Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In...
arXiv:2602.19213v1 Announce Type: new Abstract: Medical image segmentation is vital for clinical diagnosis and quantitative analysis, yet remains challenging due to the heterogeneity of imaging...