Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Zhao, Zirui"'
Publikováno v:
29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024), Volume 2, pages 582-600, La Jolla, CA, USA, May 2024
Last-level cache side-channel attacks have been mostly demonstrated in highly-controlled, quiescent local environments. Hence, it is unclear whether such attacks are feasible in a production cloud environment. In the cloud, side channels are flooded
Externí odkaz:
http://arxiv.org/abs/2405.12469
Chain-of-thought (CoT), tree-of-thought (ToT), and related techniques work surprisingly well in practice for some complex reasoning tasks with Large Language Models (LLMs), but why? This work seeks the underlying reasons by conducting experimental ca
Externí odkaz:
http://arxiv.org/abs/2404.11041
Virtual reality (VR) is a promising data engine for autonomous driving (AD). However, data fidelity in this paradigm is often degraded by VR inconsistency, for which the existing VR approaches become ineffective, as they ignore the inter-dependency b
Externí odkaz:
http://arxiv.org/abs/2403.03541
Publikováno v:
In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS '23). Association for Computing Machinery, New York, NY, USA, 2053-2067
Speculative execution attacks undermine the security of constant-time programming, the standard technique used to prevent microarchitectural side channels in security-sensitive software such as cryptographic code. Constant-time code must therefore al
Externí odkaz:
http://arxiv.org/abs/2312.09336
Automotive engine assembly and disassembly are common and crucial programs in the automotive industry. Traditional education trains students to learn automotive engine assembly and disassembly in lecture courses and then to operate with physical engi
Externí odkaz:
http://arxiv.org/abs/2311.02108
Large-scale task planning is a major challenge. Recent work exploits large language models (LLMs) directly as a policy and shows surprisingly interesting results. This paper shows that LLMs provide a commonsense model of the world in addition to a po
Externí odkaz:
http://arxiv.org/abs/2305.14078
Autor:
Zhou, Pengfei, Sun, Kaitong, Ji, Shunping, Zhao, Zirui, Fu, Ying, Xia, Junchao, Wu, Si, Zhu, Yinghao, Hui, Kwun Nam, Li, Hai-Feng
Publikováno v:
[J]. Materials Today Energy, 2023: 101248
As typical solid-state electrolytes (SSEs), {Na}$_{1+x}${Zr}$_2${Si}$_{x}${P}$_{3-x}${O}$_{12}$ NASICONs provide an ideal platform for solid-state batteries (SSBs) that display higher safety and accommodate higher energy densities. The critical point
Externí odkaz:
http://arxiv.org/abs/2302.07264
We present a new method, PARsing And visual GrOuNding (ParaGon), for grounding natural language in object placement tasks. Natural language generally describes objects and spatial relations with compositionality and ambiguity, two major obstacles to
Externí odkaz:
http://arxiv.org/abs/2210.00215
Publikováno v:
In Heliyon 15 July 2024 10(13)
Publikováno v:
In International Immunopharmacology 15 June 2024 134