Zobrazeno 1 - 10
of 14 873
pro vyhledávání: '"Sun Tao"'
Autor:
Lyu, Weimin, Yao, Jiachen, Gupta, Saumya, Pang, Lu, Sun, Tao, Yi, Lingjie, Hu, Lijie, Ling, Haibin, Chen, Chao
The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descriptions from visual inputs. Despite their growing importance, the secu
Externí odkaz:
http://arxiv.org/abs/2410.01264
Autor:
Wang, Xuwu, Cui, Qiwen, Tao, Yunzhe, Wang, Yiran, Chai, Ziwei, Han, Xiaotian, Liu, Boyi, Yuan, Jianbo, Su, Jing, Wang, Guoyin, Liu, Tingkai, Chen, Liyu, Liu, Tianyi, Sun, Tao, Zhang, Yufeng, Zheng, Sirui, You, Quanzeng, Yang, Yang, Yang, Hongxia
Large language models (LLMs) have become increasingly pivotal across various domains, especially in handling complex data types. This includes structured data processing, as exemplified by ChartQA and ChatGPT-Ada, and multimodal unstructured data pro
Externí odkaz:
http://arxiv.org/abs/2410.00773
In various domains, the increasing application of machine learning allows researchers to access inexpensive predictive data, which can be utilized as auxiliary data for statistical inference. Although such data are often unreliable compared to gold-s
Externí odkaz:
http://arxiv.org/abs/2409.01730
Autor:
Sun, Tao, Bohté, Sander
Speech enhancement (SE) improves communication in noisy environments, affecting areas such as automatic speech recognition, hearing aids, and telecommunications. With these domains typically being power-constrained and event-based while requiring low
Externí odkaz:
http://arxiv.org/abs/2408.07388
Autor:
Mutswatiwa, Lovejoy, Katch, Lauren, Kizer, Nathan J., Todd, Judith A., Sun, Tao, Clark, Samuel J., Fezzaa, Kamel, Lum, Jordan, Stobbe, David M., Jones, Griffin T., Meinert, Kenneth C., Arguelles, Andrea P., Kube, Christopher M.
Ultrasonic processing of solidifying metals in additive manufacturing can provide grain refinement and advantageous mechanical properties. However, the specific physical mechanisms of microstructural refinement relevant to laser-based additive manufa
Externí odkaz:
http://arxiv.org/abs/2407.10282
STOchastic Recursive Momentum (STORM)-based algorithms have been widely developed to solve one to $K$-level ($K \geq 3$) stochastic optimization problems. Specifically, they use estimators to mitigate the biased gradient issue and achieve near-optima
Externí odkaz:
http://arxiv.org/abs/2407.05286
Autor:
Sun, Tao, Chai, Linzheng, Yang, Jian, Yin, Yuwei, Guo, Hongcheng, Liu, Jiaheng, Wang, Bing, Yang, Liqun, Li, Zhoujun
Intermediate reasoning or acting steps have successfully improved large language models (LLMs) for handling various downstream natural language processing (NLP) tasks. When applying LLMs for code generation, recent works mainly focus on directing the
Externí odkaz:
http://arxiv.org/abs/2406.16441
Autor:
Cai, Tianchi, Tan, Zhiwen, Song, Xierui, Sun, Tao, Jiang, Jiyan, Xu, Yunqi, Zhang, Yinger, Gu, Jinjie
Publikováno v:
KDD 2024
Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to enhance the quality of long-form question-answering (LFQA). Despite the emergence of various open source metho
Externí odkaz:
http://arxiv.org/abs/2406.13779
Aero-engine fault prediction aims to accurately predict the development trend of the future state of aero-engines, so as to diagnose faults in advance. Traditional aero-engine parameter prediction methods mainly use the nonlinear mapping relationship
Externí odkaz:
http://arxiv.org/abs/2406.12918
Autor:
Chai, Linzheng, Liu, Shukai, Yang, Jian, Yin, Yuwei, Jin, Ke, Liu, Jiaheng, Sun, Tao, Zhang, Ge, Ren, Changyu, Guo, Hongcheng, Wang, Zekun, Wang, Boyang, Wu, Xianjie, Wang, Bing, Li, Tongliang, Yang, Liqun, Duan, Sufeng, Li, Zhoujun
Code large language models (LLMs) have shown remarkable advances in code understanding, completion, and generation tasks. Programming benchmarks, comprised of a selection of code challenges and corresponding test cases, serve as a standard to evaluat
Externí odkaz:
http://arxiv.org/abs/2406.07436