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arXiv:2411.13672v3 Announce Type: replace Abstract: In this work, we study the computability of topological graphs, which are obtained by gluing arcs and rays together at...
arXiv:2411.16537v5 Announce Type: replace Abstract: Spatial understanding is a crucial capability that enables robots to perceive their surroundings, reason about their environment, and interact with...
arXiv:2412.00364v2 Announce Type: replace Abstract: It is widely agreed that open-vocabulary-based approaches outperform classical closed-set training solutions for recognizing unseen objects in images for semantic...
arXiv:2412.10537v4 Announce Type: replace Abstract: In federated learning (FL), data providers jointly train a machine learning model without sharing their training data. This makes it...
arXiv:2412.10999v4 Announce Type: replace Abstract: As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel...
arXiv:2412.12427v2 Announce Type: replace Abstract: Wireless indoor localization has attracted significant research interest due to its high accuracy, low cost, lightweight design, and low power...
arXiv:2501.03544v4 Announce Type: replace Abstract: Recent text-to-image (T2I) models have exhibited remarkable performance in generating high-quality images from text descriptions. However, these models are vulnerable...
arXiv:2501.10896v4 Announce Type: replace Abstract: Joint message and state transmission under arbitrarily varying jamming is investigated in this paper. The problem is modeled as the...
arXiv:2501.14406v4 Announce Type: replace Abstract: Pre-trained Language Models (PLMs) have demonstrated their superiority and versatility in modern Natural Language Processing (NLP), effectively adapting to various...
arXiv:2501.16534v5 Announce Type: replace Abstract: Alignment in large language models (LLMs) is used to enforce guidelines such as safety. Yet, alignment fails in the face...
arXiv:2502.00213v4 Announce Type: replace Abstract: Transformers are difficult to optimize with stochastic gradient descent (SGD) and largely rely on adaptive optimizers such as Adam. Despite...
arXiv:2502.01160v3 Announce Type: replace Abstract: Quantitative information flow analyses (QIF) are a class of techniques for measuring the amount of confidential information leaked by a...
arXiv:2502.07274v5 Announce Type: replace Abstract: Continual learning (CL) has traditionally focused on minimizing exemplar memory, a constraint often misaligned with modern systems where GPU time,...
arXiv:2502.09683v3 Announce Type: replace Abstract: In Long-term Time Series Forecasting (LTSF), the lookback window is a critical hyperparameter often set arbitrarily, undermining the validity of...
arXiv:2502.12427v5 Announce Type: replace Abstract: Super-resolution can play an essential role in enhancing the spatial fidelity of Earth System Model outputs, allowing fine-scale structures highly...
arXiv:2502.14894v4 Announce Type: replace Abstract: Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with significant public health impacts, yet large-scale monitoring remains severely limited...
arXiv:2502.17356v5 Announce Type: replace Abstract: Language models famously improve under a smooth scaling law, but some specific capabilities exhibit sudden breakthroughs in performance. Advocates of...
arXiv:2502.17863v2 Announce Type: replace Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligence Generated Content...
arXiv:2502.20063v2 Announce Type: replace Abstract: We study the impact of strategic behavior in labor markets characterized by algorithmic monoculture, where firms compete for a shared...
arXiv:2503.09728v2 Announce Type: replace Abstract: Restarted GMRES is a robust and widely used iterative solver for linear systems. The control of the restart parameter is...
arXiv:2503.09762v3 Announce Type: replace Abstract: We study a centralized discrete-time dynamic two-way matching model with finitely many agent types. Agents arrive stochastically over time and...
arXiv:2503.10265v2 Announce Type: replace Abstract: Robotic-assisted surgery (RAS) is central to modern surgery, driving the need for intelligent systems with accurate scene understanding. Most existing...
arXiv:2503.12286v2 Announce Type: replace Abstract: Background: Several studies show that large language models (LLMs) struggle with phenotype-driven gene prioritization for rare diseases. These studies typically...
arXiv:2503.15378v3 Announce Type: replace Abstract: This paper presents a grid-aware probabilistic approach to compute the aggregated flexibility at the grid connection point (GCP) of active...