Zobrazeno 1 - 10
of 6 269
pro vyhledávání: '"Sun, Ke"'
The rapid development of large language models (LLMs) has significantly advanced code completion capabilities, giving rise to a new generation of LLM-based Code Completion Tools (LCCTs). Unlike general-purpose LLMs, these tools possess unique workflo
Externí odkaz:
http://arxiv.org/abs/2408.11006
The rapid progress in generative models has given rise to the critical task of AI-Generated Content Stealth (AIGC-S), which aims to create AI-generated images that can evade both forensic detectors and human inspection. This task is crucial for under
Externí odkaz:
http://arxiv.org/abs/2408.05669
Time series experiments, in which experimental units receive a sequence of treatments over time, are frequently employed in many technological companies to evaluate the performance of a newly developed policy, product, or treatment relative to a base
Externí odkaz:
http://arxiv.org/abs/2408.05342
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