Zobrazeno 1 - 10
of 6 016
pro vyhledávání: '"Wu, Xian"'
Autor:
Wang, Xiqiao, Howard, Joel, Sete, Eyob A., Stiehl, Greg, Kopas, Cameron, Poletto, Stefano, Wu, Xian, Field, Mark, Sharac, Nicholas, Eckberg, Christopher, Cansizoglu, Hilal, Katta, Raja, Mutus, Josh, Bestwick, Andrew, Yadavalli, Kameshwar, Pappas, David P.
Superconducting quantum processors are one of the leading platforms for realizing scalable fault-tolerant quantum computation (FTQC). The recent demonstration of post-fabrication tuning of Josephson junctions using alternating-bias assisted annealing
Externí odkaz:
http://arxiv.org/abs/2407.06425
Addressing the imperative need for efficient artificial intelligence in IoT and edge computing, this study presents RepAct, a re-parameterizable adaptive activation function tailored for optimizing lightweight neural networks within the computational
Externí odkaz:
http://arxiv.org/abs/2407.00131
Autor:
Cheng, Yi, Liu, Wenge, Xu, Kaishuai, Hou, Wenjun, Ouyang, Yi, Leong, Chak Tou, Wu, Xian, Zheng, Yefeng
Previous research on persona-based dialogue agents typically preset the agent's persona before deployment, which remains static thereafter. In this paper, we take a step further and explore a new paradigm called Self-evolving Personalized Dialogue Ag
Externí odkaz:
http://arxiv.org/abs/2406.13960
Sequential recommendation systems (SRS) serve the purpose of predicting users' subsequent preferences based on their past interactions and have been applied across various domains such as e-commerce and social networking platforms. However, practical
Externí odkaz:
http://arxiv.org/abs/2405.20646
Deep reinforcement learning (DRL) is playing an increasingly important role in real-world applications. However, obtaining an optimally performing DRL agent for complex tasks, especially with sparse rewards, remains a significant challenge. The train
Externí odkaz:
http://arxiv.org/abs/2405.03064
Nonlinear Compton scattering driven by ultraintense lasers presents a promising avenue for enhancing the photon energy, brilliance, and setup compactness of $\gamma$-ray sources. However, a significant challenge lies in achieving a high polarization
Externí odkaz:
http://arxiv.org/abs/2404.07038
3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception. However, current 3D trackers face issues with accuracy and latency consistency. In this paper, we propose Fast-
Externí odkaz:
http://arxiv.org/abs/2403.13443
Graph-based anomaly detection is currently an important research topic in the field of graph neural networks (GNNs). We find that in graph anomaly detection, the homophily distribution differences between different classes are significantly greater t
Externí odkaz:
http://arxiv.org/abs/2403.10339
With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice questions. However, the application of LLMs in medical dialogue generation
Externí odkaz:
http://arxiv.org/abs/2403.06611
Clinical reasoning refers to the cognitive process that physicians employ in evaluating and managing patients. This process typically involves suggesting necessary examinations, diagnosing patients' diseases, and deciding on appropriate therapies, et
Externí odkaz:
http://arxiv.org/abs/2403.06609