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arXiv:2602.15238v2 Announce Type: replace Abstract: Adversarial training for LLMs is one of the most promising methods to reliably improve robustness against adversaries. However, despite significant...
arXiv:2602.15281v2 Announce Type: replace Abstract: To support the emergence of AI-as-a-Service (AIaaS), communication service providers (CSPs) are on the verge of a radical transformation-from pure...
arXiv:2602.15286v2 Announce Type: replace Abstract: With AI-as-a-Service (AIaaS) now deployed across multiple providers and model tiers, selecting the appropriate model instance at run time is...
arXiv:2602.15288v2 Announce Type: replace Abstract: Cloud-based Artificial Intelligence (AI) inference is increasingly latency- and context-sensitive, yet today's AI-as-a-Service is typically consumed as an application-chosen endpoint,...
arXiv:2602.15333v2 Announce Type: replace Abstract: Decentralized air traffic management requires coordination among self-interested stakeholders operating under shared safety and capacity constraints, where conventional centralized or...
arXiv:2602.15373v2 Announce Type: replace Abstract: Language models exhibit systematic performance gaps when processing text in non-standard language varieties, yet their ability to comprehend variety-specific slang...
arXiv:2602.15620v2 Announce Type: replace Abstract: Reinforcement Learning (RL) has significantly improved large language model reasoning, but existing RL fine-tuning methods rely heavily on heuristic techniques...
arXiv:2602.15656v2 Announce Type: replace Abstract: The strawberry (Fragaria x ananassa), known worldwide for its economic value and nutritional richness, is a widely cultivated fruit. Determining...
arXiv:2602.15689v2 Announce Type: replace Abstract: Large language models and LLM-based agents are increasingly used for cybersecurity tasks that are inherently dual-use. Existing approaches to refusal,...
arXiv:2602.15720v2 Announce Type: replace Abstract: Vision Transformers (ViTs) have achieved remarkable success across various vision tasks, yet their deployment is often hindered by prohibitive computational...
arXiv:2602.15784v2 Announce Type: replace Abstract: We introduce a new class of network allocation games called graphical distance preservation games. Here, we are given a graph,...
arXiv:2205.08293v4 Announce Type: replace-cross Abstract: We investigate quantitative implications of the notion of log-concavity through a probabilistic interpretation. In particular, we derive concentration inequalities, moment...
arXiv:2305.12288v5 Announce Type: replace-cross Abstract: The present study explores a cost-effective method for using activated ground granulated blast furnace slag (GGBFS) and silica fume (SF)...
arXiv:2405.06961v3 Announce Type: replace-cross Abstract: Arranging the bits of a random string or real into k columns of a two-dimensional array or higher dimensional structure...
arXiv:2407.15329v3 Announce Type: replace-cross Abstract: A light field image captures scenes through its micro-lens array, providing a rich representation that encompasses spatial and angular information....
arXiv:2409.19642v3 Announce Type: replace-cross Abstract: Motivated by a recent method for approximate solution of Fredholm equations of the first kind, we develop a corresponding method...
arXiv:2503.02642v2 Announce Type: replace-cross Abstract: In both machine learning and in computational neuroscience, plasticity in functional neural networks is frequently expressed as gradient descent on...
arXiv:2503.20711v4 Announce Type: replace-cross Abstract: We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre-trained deep learning models, we...
arXiv:2504.13519v2 Announce Type: replace-cross Abstract: Noise in low-dose computed tomography (LDCT) can obscure important diagnostic details. While deep learning offers powerful denoising, supervised methods require...
arXiv:2508.02920v2 Announce Type: replace-cross Abstract: This paper presents a comparative study of the applicability and accuracy of optimal control methods and neural network-based estimators in...
arXiv:2508.13322v2 Announce Type: replace-cross Abstract: We generalize the $2$-tensor paraproduct decomposition result of [arXiv:2503.12629] to $d$-tensors. In particular, we show that for $A \in C^{d}(\mathbb{R}),...
arXiv:2508.15323v4 Announce Type: replace-cross Abstract: Simulating fermionic systems on qubit-based quantum computers often demands significant computational resources due to the requirement to map fermions to...
arXiv:2509.20345v2 Announce Type: replace-cross Abstract: The rapid proliferation of high-quality synthetic data -- generated by advanced AI models or collected as auxiliary data from related...
arXiv:2509.20928v3 Announce Type: replace-cross Abstract: Probabilistic forecasting of multivariate time series is challenging due to non-stationarity, inter-variable dependencies, and distribution shifts. While recent diffusion and...