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arXiv:2602.19084v1 Announce Type: new Abstract: UCX is a communication framework that enables low-latency, high-bandwidth communication in HPC systems. With its unified API, UCX facilitates efficient...
arXiv:2602.19085v1 Announce Type: new Abstract: The transition to auto-bidding in online advertising has shifted the focus of auction theory from quasi-linear utility maximization to value...
arXiv:2602.19086v1 Announce Type: new Abstract: Kuzushiji was one of the most popular writing styles in pre-modern Japan and was widely used in both personal letters...
arXiv:2602.19087v1 Announce Type: new Abstract: The critical need for transparent and trustworthy machine learning in cybersecurity operations drives the development of this integrated Explainable AI...
arXiv:2602.19088v1 Announce Type: new Abstract: Today's distributed systems operate in complex environments that inevitably involve faults and even adversarial behaviors. Predicting their performance under such...
arXiv:2602.19089v1 Announce Type: new Abstract: Current 3D human animation methods struggle to achieve photorealism: kinematics-based approaches lack non-rigid dynamics (e.g., clothing dynamics), while methods that...
arXiv:2602.19090v1 Announce Type: new Abstract: In this paper, we discuss numerical methods for the eigenvalue decomposition of real symmetric matrices. While many existing methods can...
arXiv:2602.19091v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have shown remarkable success in comprehension tasks such as visual description and visual question answering....
arXiv:2602.19094v1 Announce Type: new Abstract: Integral operators play a central role in signal processing, underpinning classical convolution, and filtering on continuous network models such as...
arXiv:2602.19096v1 Announce Type: new Abstract: Crafting adversarial examples can be formulated as an optimization problem. While sign-based optimizers such as I-FGSM and MI-FGSM have become...
arXiv:2602.19097v1 Announce Type: new Abstract: Robust reversible watermarking (RRW) enables copyright protection for images while overcoming the limitation of distortion introduced by watermark itself. Current...
arXiv:2602.19098v1 Announce Type: new Abstract: Test flakiness is a significant issue in industry, affecting test efficiency and product quality. While extensive research has examined the...
arXiv:2602.19101v1 Announce Type: new Abstract: Value alignment of Large Language Models (LLMs) requires us to empirically measure these models' actual, acquired representation of value. Among...
arXiv:2602.19102v1 Announce Type: new Abstract: Satisfiability Modulo Theories (SMT) specifications often rely on quantifiers to remain concise and declarative. However, checking the satisfiability of such...
arXiv:2602.19107v1 Announce Type: new Abstract: Robotaxis are emerging as a promising form of urban mobility, yet research has largely emphasized technical driving performance while leaving...
arXiv:2602.19108v1 Announce Type: new Abstract: Safely moving through environments affected by fire is a critical capability for autonomous mobile robots deployed in disaster response. In...
arXiv:2602.19109v1 Announce Type: new Abstract: We study three-digit addition in Meta-Llama-3-8B (base) under a one-token readout to characterize how arithmetic answers are finalized after cross-token...
arXiv:2602.19111v1 Announce Type: new Abstract: Parameter-Efficient Fine-Tuning (PEFT) methods, especially LoRA, are widely used for adapting pre-trained models to downstream tasks due to their computational...
arXiv:2602.19112v1 Announce Type: new Abstract: Establishing dense correspondences between shapes is a crucial task in computer vision and graphics, while prior approaches depend on near-isometric...
arXiv:2602.19113v1 Announce Type: new Abstract: Spatio-temporal forecasting is fundamental to intelligent systems in transportation, climate science, and urban planning. However, training deep learning models on...
arXiv:2602.19115v1 Announce Type: new Abstract: In recent years, there has been a growing use of generative AI, and large language models (LLMs) in particular, to...
arXiv:2602.19117v1 Announce Type: new Abstract: Perspective-aware spatial reasoning involves understanding spatial relationships from specific viewpoints-either egocentric (observer-centered) or allocentric (object-centered). While vision-language models (VLMs) perform...
arXiv:2602.19121v1 Announce Type: new Abstract: We introduce the problem of asymptotic subspace consensus, which requires the outputs of processes to converge onto a common subspace...
arXiv:2602.19123v1 Announce Type: new Abstract: The fine-grained classification of street trees is a crucial task for urban planning, streetscape management, and the assessment of urban...