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arXiv:2603.01055v1 Announce Type: new Abstract: We present MMCOMET, the first multimodal commonsense knowledge graph (MMKG) that integrates physical, social, and eventive knowledge. MMCOMET extends the...
arXiv:2603.01056v1 Announce Type: new Abstract: What makes two computational systems equivalent? Topos theory answers with classifying toposes: a system's semantic content is encoded in the...
arXiv:2603.01058v1 Announce Type: new Abstract: To deploy large Mixture-of-Experts (MoE) models cost-effectively, offloading-based single-GPU heterogeneous inference is crucial. While GPU-CPU architectures that offload cold experts...
arXiv:2603.01059v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have enabled increasingly capable chatbots. However, most existing systems focus on single-user settings...
arXiv:2603.01063v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models for autonomous driving often hit a performance plateau during Reinforcement Learning (RL) optimization. This stagnation arises from...
arXiv:2603.01064v1 Announce Type: new Abstract: Convolution-type integral equations commonly occur in signal processing and image processing. Discretizing these equations yields large and ill-conditioned linear systems....
arXiv:2603.01067v1 Announce Type: new Abstract: Watermarking has emerged as a key defense against the misuse of machine-generated images (MGIs). Yet the robustness of these protections...
arXiv:2603.01068v1 Announce Type: new Abstract: We present \textbf{LLaDA-o}, an effective and length-adaptive omni diffusion model for multimodal understanding and generation. LLaDA-o is built on a...
arXiv:2603.01069v1 Announce Type: new Abstract: Real-time unmanned aerial vehicle (UAV) acoustic detection at the edge demands low-latency inference under strict power and hardware limits. This...
arXiv:2603.01070v1 Announce Type: new Abstract: Solving complex geometric problems inherently requires interleaved reasoning: a tight alternation between constructing diagrams and performing logical deductions. Although recent...
arXiv:2603.01073v1 Announce Type: new Abstract: Diffusion-based unsupervised image registration has been explored for cardiac cine MR, but expensive multi-step inference limits practical use. We propose...
arXiv:2603.01074v1 Announce Type: new Abstract: Adverse weather conditions significantly degrade the performance of LiDAR point cloud semantic segmentation networks by introducing large distribution shifts. Existing...
arXiv:2603.01075v1 Announce Type: new Abstract: Early defibrillation significantly improves survival rates in cases of out-of-hospital cardiac arrest. However, limited public awareness of Automated External Defibrillator...
arXiv:2603.01082v1 Announce Type: new Abstract: Recent advances in multimodal large language models (MLLMs) have substantially expanded the capabilities of multimodal retrieval, enabling systems to align...
arXiv:2603.01083v1 Announce Type: new Abstract: Assessing the aesthetic quality of graphic design is central to visual communication, yet remains underexplored in vision language models (VLMs)....
arXiv:2603.01086v1 Announce Type: new Abstract: Recent advancements in generative artificial intelligence (generative AI) technologies have transformed the computer science discipline of natural language processing. However,...
arXiv:2603.01089v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems have shown strong capabilities in tasks such as code generation and collaborative reasoning. However,...
arXiv:2603.01091v1 Announce Type: new Abstract: Harvest-now, decrypt-later (HN-DL) attacks threaten today's encrypted communications by archiving ciphertext until a quantum computer can break the underlying key...
arXiv:2603.01092v1 Announce Type: new Abstract: Large language models are adept at synthesizing and recombining familiar material, yet they often fail at a specific kind of...
arXiv:2603.01093v1 Announce Type: new Abstract: This paper proposes an Adaptive-Growth Randomized Neural Network (AG-RaNN) method for computing multivalued solutions of nonlinear first-order PDEs with hyperbolic...
arXiv:2603.01096v1 Announce Type: new Abstract: We introduce V-SONAR, a vision-language embedding space extended from the text-only embedding space SONAR (Omnilingual Embeddings Team et al., 2026),...
arXiv:2603.01097v1 Announce Type: new Abstract: Continuous knowledge updating for pre-trained large language models (LLMs) is increasingly necessary yet remains challenging. Although inference-time methods like In-Context...
arXiv:2603.01098v1 Announce Type: new Abstract: Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end performance, leaving the mechanism of privacy-induced utility...
arXiv:2603.01099v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) has recently emerged as a promising approach in novel view synthesis, combining photorealistic rendering with real-time...