Zobrazeno 1 - 10
of 2 743
pro vyhledávání: '"A. Minha"'
Recently, discrete diffusion language models have demonstrated promising results in NLP. However, there has been limited research on integrating Pretrained Language Models (PLMs) into discrete diffusion models, resulting in underwhelming performance
Externí odkaz:
http://arxiv.org/abs/2411.06438
For modern industrial applications, accurately detecting and diagnosing anomalies in multivariate time series data is essential. Despite such need, most state-of-the-art methods often prioritize detection performance over model interpretability. Addr
Externí odkaz:
http://arxiv.org/abs/2410.22735
Traffic forecasting in Intelligent Transportation Systems (ITS) is vital for intelligent traffic prediction. Yet, ITS often relies on data from traffic sensors or vehicle devices, where certain cities might not have all those smart devices or enablin
Externí odkaz:
http://arxiv.org/abs/2410.15589
We develop the viscosity method for the homogenization of an obstacle problem with highly oscillating obstacles. The associated operator, in non-divergence form, is linear and elliptic with variable coefficients. We first construct a highly oscillati
Externí odkaz:
http://arxiv.org/abs/2410.09378
For electric vehicles, the Adaptive Cruise Control (ACC) in Advanced Driver Assistance Systems (ADAS) is designed to assist braking based on driving conditions, road inclines, predefined deceleration strengths, and user braking patterns. However, the
Externí odkaz:
http://arxiv.org/abs/2409.05346
Autor:
Alizadeh, Fatemeh, Randall, Dave, Tolmie, Peter, Lee, Minha, Xu, Yuhui, Mennicken, Sarah, Woźniak, Mikołaj P., Paul, Dennis, Pins, Dominik
Publikováno v:
ECSCW 2024: the 22nd European Conference on Computer-Supported Cooperative Work
The evolution of smart home technologies, particularly agentic ones such as conversational agents, robots, and virtual avatars, is reshaping our understanding of home and domestic life. This shift highlights the complexities of modern domestic life,
Externí odkaz:
http://arxiv.org/abs/2407.15956
This study addresses the widening gap in Automatic Speech Recognition (ASR) research between high resource and extremely low resource languages, with a particular focus on Manchu, a critically endangered language. Manchu exemplifies the challenges fa
Externí odkaz:
http://arxiv.org/abs/2406.13502
Autor:
Desai, Smit, Wei, Christina, Sin, Jaisie, Dubiel, Mateusz, Zargham, Nima, Ahire, Shashank, Porcheron, Martin, Kuzminykh, Anastasia, Lee, Minha, Candello, Heloisa, Fischer, Joel, Munteanu, Cosmin, Cowan, Benjamin R
Conversational user interfaces (CUIs) have become an everyday technology for people the world over, as well as a booming area of research. Advances in voice synthesis and the emergence of chatbots powered by large language models (LLMs), notably Chat
Externí odkaz:
http://arxiv.org/abs/2401.13970
The Manchu language, with its roots in the historical Manchurian region of Northeast China, is now facing a critical threat of extinction, as there are very few speakers left. In our efforts to safeguard the Manchu language, we introduce Mergen, the
Externí odkaz:
http://arxiv.org/abs/2311.17492
Autor:
Pandey, Mrinal, Suh, Young Joon, Kim, Minha, Davis, Hannah Jane, Segall, Jeffrey E, Wu, Mingming
Uncontrolled growth of tumor cells in confined spaces leads to the accumulation of compressive stress within the tumor. Although the effects of tension within 3D extracellular matrices on tumor growth and invasion are well established, the role of co
Externí odkaz:
http://arxiv.org/abs/2307.01289