Zobrazeno 1 - 10
of 13 127
pro vyhledávání: '"TIAN, Yuan"'
Deep learning-based segmentation methods are widely utilized for detecting lesions in ultrasound images. Throughout the imaging procedure, the attenuation and scattering of ultrasound waves cause contour blurring and the formation of artifacts, limit
Externí odkaz:
http://arxiv.org/abs/2411.14250
Autor:
Liao, Wei-Yu, Wang, Wen-Xiao, Zhang, Shihao, Zhang, Yang, Tong, Ling-Hui, Zhang, Wenjia, Cai, Hao, Tian, Yuan, Hu, Yuanyuan, Zhang, Li, Zhang, Lijie, Qin, Zhihui, Yin, Long-Jing
Multilayer rhombohedral graphene (RG) has recently emerged as a new, structurally simple flat-band system, which facilitates the exploration of interaction-driven correlation states with highly ordered electron arrangements. Despite a variety of many
Externí odkaz:
http://arxiv.org/abs/2411.14113
Code translation aims to convert a program from one programming language (PL) to another. This long-standing software engineering task is crucial for modernizing legacy systems, ensuring cross-platform compatibility, enhancing performance, and more.
Externí odkaz:
http://arxiv.org/abs/2411.01063
While fuzzing has demonstrated its effectiveness in exposing vulnerabilities within embedded firmware, the discovery of crashing test cases is only the first step in improving the security of these critical systems. The subsequent fault localization
Externí odkaz:
http://arxiv.org/abs/2410.18483
Supervised fine-tuning (SFT) is crucial for aligning Large Language Models (LLMs) with human instructions. The primary goal during SFT is to select a small yet representative subset of training data from the larger pool, such that fine-tuning with th
Externí odkaz:
http://arxiv.org/abs/2410.09335
Autor:
Li, Chunyi, Zhang, Jianbo, Zhang, Zicheng, Wu, Haoning, Tian, Yuan, Sun, Wei, Lu, Guo, Liu, Xiaohong, Min, Xiongkuo, Lin, Weisi, Zhai, Guangtao
The outstanding performance of Large Multimodal Models (LMMs) has made them widely applied in vision-related tasks. However, various corruptions in the real world mean that images will not be as ideal as in simulations, presenting significant challen
Externí odkaz:
http://arxiv.org/abs/2410.05474
Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software development. However, existing benchmarks primarily focus on general code
Externí odkaz:
http://arxiv.org/abs/2409.15228
Unsupervised video semantic compression (UVSC), i.e., compressing videos to better support various analysis tasks, has recently garnered attention. However, the semantic richness of previous methods remains limited, due to the single semantic learnin
Externí odkaz:
http://arxiv.org/abs/2409.11718
Autor:
Liao, Zeyi, Mo, Lingbo, Xu, Chejian, Kang, Mintong, Zhang, Jiawei, Xiao, Chaowei, Tian, Yuan, Li, Bo, Sun, Huan
Generalist web agents have demonstrated remarkable potential in autonomously completing a wide range of tasks on real websites, significantly boosting human productivity. However, web tasks, such as booking flights, usually involve users' PII, which
Externí odkaz:
http://arxiv.org/abs/2409.11295
Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain limited, especially in high-stakes domains. This paper introduces SQLuc
Externí odkaz:
http://arxiv.org/abs/2409.06178