Zobrazeno 1 - 10
of 5 117
pro vyhledávání: '"Sun, Ke"'
Accurate calibration of control parameters in quantum gates is crucial for high-fidelity operations, yet it represents a significant time and resource challenge, necessitating periods of downtime for quantum computers. Robust Phase Estimation (RPE) h
Externí odkaz:
http://arxiv.org/abs/2407.18339
Autor:
Sun, Ke, Cao, Jian, Wang, Qi, Tian, Linrui, Zhang, Xindi, Zhuo, Lian, Zhang, Bang, Bo, Liefeng, Zhou, Wenbo, Zhang, Weiming, Gao, Daiheng
Virtual Try-On (VTON) has become a transformative technology, empowering users to experiment with fashion without ever having to physically try on clothing. However, existing methods often struggle with generating high-fidelity and detail-consistent
Externí odkaz:
http://arxiv.org/abs/2407.16224
Sparse query-based paradigms have achieved significant success in multi-view 3D detection for autonomous vehicles. Current research faces challenges in balancing between enlarging receptive fields and reducing interference when aggregating multi-view
Externí odkaz:
http://arxiv.org/abs/2407.16955
Despite the advances in Large Language Models (LLMs), exemplified by models like GPT-4 and Claude, smaller-scale LLMs such as Llama and Mistral often struggle with generating in-depth and coherent dialogues. This paper presents a novel two-step Coars
Externí odkaz:
http://arxiv.org/abs/2406.08657
Autor:
Sun, Ke, Kang, Mingyu, Nuomin, Hanggai, Schwartz, George, Beratan, David N., Brown, Kenneth R., Kim, Jungsang
The spin-boson model, involving spins interacting with a bath of quantum harmonic oscillators, is a widely used representation of open quantum systems. Trapped ions present a natural platform for simulating the quantum dynamics of such models, thanks
Externí odkaz:
http://arxiv.org/abs/2405.14624
Autor:
Chen, Zhongxi, Sun, Ke, Zhou, Ziyin, Lin, Xianming, Sun, Xiaoshuai, Cao, Liujuan, Ji, Rongrong
The rapid progress in deep learning has given rise to hyper-realistic facial forgery methods, leading to concerns related to misinformation and security risks. Existing face forgery datasets have limitations in generating high-quality facial images a
Externí odkaz:
http://arxiv.org/abs/2403.18471
In recent advancements in Conversational Large Language Models (LLMs), a concerning trend has emerged, showing that many new base LLMs experience a knowledge reduction in their foundational capabilities following Supervised Fine-Tuning (SFT). This pr
Externí odkaz:
http://arxiv.org/abs/2403.02513
Scalable service-Oriented Middleware over IP (SOME/IP) is an Ethernet communication standard protocol in the Automotive Open System Architecture (AUTOSAR), promoting ECU-to-ECU communication over the IP stack. However, SOME/IP lacks a robust security
Externí odkaz:
http://arxiv.org/abs/2402.14862
Autor:
Soen, Alexander, Sun, Ke
The Fisher information matrix characterizes the local geometry in the parameter space of neural networks. It elucidates insightful theories and useful tools to understand and optimize neural networks. Given its high computational cost, practitioners
Externí odkaz:
http://arxiv.org/abs/2402.05379
The emergence of Large Language Models (LLMs) such as ChatGPT and LLaMA encounter limitations in domain-specific tasks, with these models often lacking depth and accuracy in specialized areas, and exhibiting a decrease in general capabilities when fi
Externí odkaz:
http://arxiv.org/abs/2401.02072