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arXiv:2406.12844v2 Announce Type: replace Abstract: Over the past few years, the landscape of Artificial Intelligence (AI) has been reshaped by the emergence of Foundation Models...
arXiv:2406.17364v5 Announce Type: replace Abstract: Solving partial differential equations (PDEs) using an annealing-based approach involves solving generalized eigenvalue problems. Discretizing a PDE yields a system...
arXiv:2407.05006v3 Announce Type: replace Abstract: Research in NLP for Central Asian Turkic languages - Kazakh, Uzbek, Kyrgyz, and Turkmen - faces typical low-resource language challenges...
arXiv:2407.10221v2 Announce Type: replace Abstract: This paper investigates the stability of the least squares approximation $P_m^n$ within the univariate polynomial space of degree $m$, denoted...
arXiv:2407.11907v2 Announce Type: replace Abstract: Graph neural networks (GNNs) are often trained on individual datasets, requiring specialized models and significant hyperparameter tuning due to the...
arXiv:2407.19229v3 Announce Type: replace Abstract: Cost-effectiveness analyses, based on decision-analytic models of disease progression and treatment, are routinely used to assess the economic value of...
arXiv:2407.21283v2 Announce Type: replace Abstract: This paper focuses on developing a framework for constructing quasi-interpolation with the highest achievable approximation order from generalized Gaussian kernels...
arXiv:2408.09935v2 Announce Type: replace Abstract: Financial crimes like money laundering and terrorism financing can have significant impacts on society, including loss of trust in the...
arXiv:2408.10746v2 Announce Type: replace Abstract: Large language models (LLMs) have unlocked a plethora of powerful applications at the network edge, such as intelligent personal assistants....
arXiv:2408.11438v3 Announce Type: replace Abstract: Research on Artificial Intelligence (AI)-based Data Assimilation (DA) is expanding rapidly. However, the absence of an objective, comprehensive, and real-world...
arXiv:2409.06888v5 Announce Type: replace Abstract: We use the Quality Diversity (QD) algorithm with Neural Cellular Automata (NCA) to automatically evaluate Multi-Agent Path Finding (MAPF) algorithms...
arXiv:2409.11972v3 Announce Type: replace Abstract: Enabling robots to autonomously discover high-level spatial concepts (e.g., rooms and walls) from primitive geometric observations (e.g., planar surfaces) within...
arXiv:2409.14823v2 Announce Type: replace Abstract: Formant synthesis aims to generate speech with controllable formant structures, enabling precise control of vocal resonance and phonetic features. However,...
arXiv:2410.02054v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet evaluating their outputs remains challenging. A common strategy is...
arXiv:2410.02081v2 Announce Type: replace Abstract: Recently, there has been a growing interest in Long-term Time Series Forecasting (LTSF), which involves predicting long-term future values by...
arXiv:2410.03919v2 Announce Type: replace Abstract: Posterior sampling in contextual bandits with a Gaussian prior can be implemented exactly or approximately using the Laplace approximation. The...
arXiv:2410.06244v3 Announce Type: replace Abstract: This paper introduces Story-Iter, a new training-free iterative paradigm to enhance long-story generation. Unlike existing methods that rely on fixed...
arXiv:2410.06823v3 Announce Type: replace Abstract: Populations do not only interact over time but also age over time. It is therefore common to model them as...
arXiv:2410.10481v5 Announce Type: replace Abstract: Prominent Large Language Model (LLM) services from providers like OpenAI and Google excel at general tasks but often underperform on...
arXiv:2410.15756v3 Announce Type: replace Abstract: Ensuring correctness is crucial for code generation. Formal verification offers a definitive assurance of correctness, but demands substantial human effort...
arXiv:2410.17587v2 Announce Type: replace Abstract: Predicting company growth is a critical yet challenging task because observed dynamics blend an underlying structural growth trend with volatile...
arXiv:2410.18299v4 Announce Type: replace Abstract: When novices fabricate, they start by choosing a workflow (e.g., laser cutting, 3D printing, etc.) and corresponding software from a...
arXiv:2410.18784v3 Announce Type: replace Abstract: The denoising diffusion probabilistic model (DDPM) has emerged as a mainstream generative model in generative AI. While sharp convergence guarantees...
arXiv:2410.19412v2 Announce Type: replace Abstract: Time series causal discovery is essential for understanding dynamic systems, yet many existing methods remain sensitive to noise, non-stationarity, and...