Zobrazeno 1 - 10
of 40 456
pro vyhledávání: '"Wang, Ping"'
The image-based multimodal automatic speech recognition (ASR) model enhances speech recognition performance by incorporating audio-related image. However, some works suggest that introducing image information to model does not help improving ASR perf
Externí odkaz:
http://arxiv.org/abs/2410.00822
Autor:
Jiang, Hailing, Wang, Tao, Zhang, Zhenyu, Shi, Ruochen, Xu, Xifan, Sheng, Bowen, Liu, Fang, Ge, Weikun, Wang, Ping, Shen, Bo, Gao, Peng, Lindsay, Lucas R, Wang, Xinqiang
Phonon resistance from dislocation scattering is often divided into short-range core interactions and long-range strain field interactions. Using electron energy-loss spectroscopy on a GaN dislocation, we report observations of vibrational modes loca
Externí odkaz:
http://arxiv.org/abs/2409.10628
Chinese Spelling Correction (CSC) stands as a foundational Natural Language Processing (NLP) task, which primarily focuses on the correction of erroneous characters in Chinese texts. Certain existing methodologies opt to disentangle the error correct
Externí odkaz:
http://arxiv.org/abs/2409.04150
Autor:
Wang, Ding, Wang, Ping, Mondal, Shubham, Hu, Mingtao, Wu, Yuanpeng, Wang, Danhao, Sun, Kai, Mi, Zetian
The pursuit of extreme device miniaturization and the exploration of novel physical phenomena have spurred significant interest in crystallographic phase control and ferroelectric switching in reduced dimensions. Recently, wurtzite ferroelectrics hav
Externí odkaz:
http://arxiv.org/abs/2408.02576
Autor:
Lou, Xingyu, Yang, Yu, Dong, Kuiyao, Huang, Heyuan, Yu, Wenyi, Wang, Ping, Li, Xiu, Wang, Jun
As the recommendation service needs to address increasingly diverse distributions, such as multi-population, multi-scenario, multitarget, and multi-interest, more and more recent works have focused on multi-distribution modeling and achieved great pr
Externí odkaz:
http://arxiv.org/abs/2408.01332
Dynamic characteristics of the railway ballast bed under water-rich and low-temperature environments
Studying the dynamic characteristics and evolution laws of the ballast bed under low-temperature, rain and snow environments has practical significance for the driving stability of railways in alpine. In this paper, a full-scale ballasted track model
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A83063
https://tud.qucosa.de/api/qucosa%3A83063/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A83063/attachment/ATT-0/
Large language models (LLMs) have demonstrated remarkable capabilities, but their power comes with significant security considerations. While extensive research has been conducted on the safety of LLMs in chat mode, the security implications of their
Externí odkaz:
http://arxiv.org/abs/2407.17915
Autor:
Abbasi, Haris Naeem, Zhou, Jie, Wang, Ding, Sun, Kai, Wang, Ping, Lu, Yi, Gong, Jiarui, Liu, Dong, Liu, Yang, Singh, Ranveer, Mi, Zetian, Ma, Zhenqiang
Ultra-wide bandgap (UWBG) materials hold immense potential for high-power RF electronics and deep ultraviolet photonics. Among these, AlGaN emerges as a promising candidate, offering a tunable bandgap from 3.4 eV (GaN) to 6.1 eV (AlN) and remarkable
Externí odkaz:
http://arxiv.org/abs/2407.17360
This paper proposes a weight-aware deep reinforcement learning (WADRL) approach designed to address the multiobjective vehicle routing problem with time windows (MOVRPTW), aiming to use a single deep reinforcement learning (DRL) model to solve the en
Externí odkaz:
http://arxiv.org/abs/2407.13113
Transformers have achieved the state-of-the-art performance on solving the inverse problem of Snapshot Compressive Imaging (SCI) for video, whose ill-posedness is rooted in the mixed degradation of spatial masking and temporal aliasing. However, prev
Externí odkaz:
http://arxiv.org/abs/2407.11946