Zobrazeno 1 - 10
of 12 383
pro vyhledávání: '"Yutian An"'
Recent advances in Large Language Models (LLMs) have showcased their remarkable reasoning capabilities, making them influential across various fields. However, in robotics, their use has primarily been limited to manipulation planning tasks due to th
Externí odkaz:
http://arxiv.org/abs/2411.05212
To understand the complexity of the dynamic of learning in differential games, we decompose the game into components where the dynamic is well understood. One of the possible tools is Helmholtz's theorem, which can decompose a vector field into a pot
Externí odkaz:
http://arxiv.org/abs/2411.03802
Autor:
Wu, Wei-Cheng, Yan, Yutian, Egilsson, Hallgrimur David, Park, David, Chan, Steven, Hauser, Christophe, Wang, Weihang
WebAssembly is a low-level bytecode language designed for client-side execution in web browsers. The need for decompilation techniques that recover high-level source code from WASM binaries has grown as WASM continues to gain widespread adoption and
Externí odkaz:
http://arxiv.org/abs/2411.02278
Autor:
Ma, Mengxuan, Yang, Liping, Shen, Fang, Shen, Chenglong, Chi, Yutian, Wang, Yuming, Zhou, Yufen, Zhang, Man, Heyner, Daniel, Auster, Uli, Richter, Ingo, Sanchez-Cano, Beatriz
The magnetic orientation of coronal mass ejections (CMEs) is of great importance to understand their space weather effects. Although many evidences suggest that CMEs can undergo significant rotation during the early phases of evolution in the solar c
Externí odkaz:
http://arxiv.org/abs/2410.20803
At present, neural network models show powerful sequence prediction ability and are used in many automatic composition models. In comparison, the way humans compose music is very different from it. Composers usually start by creating musical motifs a
Externí odkaz:
http://arxiv.org/abs/2410.13419
Autor:
Nguyen, Tung, Zhang, Qiuyi, Yang, Bangding, Lee, Chansoo, Bornschein, Jorg, Miao, Yingjie, Perel, Sagi, Chen, Yutian, Song, Xingyou
Bayesian Optimization is ubiquitous in the field of experimental design and blackbox optimization for improving search efficiency, but has been traditionally restricted to regression models which are only applicable to fixed search spaces and tabular
Externí odkaz:
http://arxiv.org/abs/2410.10190
Current Retrieval-Augmented Generation (RAG) systems concatenate and process numerous retrieved document chunks for prefill which requires a large volume of computation, therefore leading to significant latency in time-to-first-token (TTFT). To reduc
Externí odkaz:
http://arxiv.org/abs/2410.07590
In recent years, the global adoption of electric vehicles (EVs) has surged, prompting a corresponding rise in the installation of charging stations. This proliferation has underscored the importance of expediting the deployment of charging infrastruc
Externí odkaz:
http://arxiv.org/abs/2410.01384
The issue of traffic congestion poses a significant obstacle to the development of global cities. One promising solution to tackle this problem is intelligent traffic signal control (TSC). Recently, TSC strategies leveraging reinforcement learning (R
Externí odkaz:
http://arxiv.org/abs/2410.01364
Human-Robot Collaboration (HRC) is vital in Industry 4.0, using sensors, digital twins, collaborative robots (cobots), and intention-recognition models to have efficient manufacturing processes. However, Concept Drift is a significant challenge, wher
Externí odkaz:
http://arxiv.org/abs/2409.19856