Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Ma, Minghua"'
Autor:
Wang, Yuxin, Ma, Minghua, Wang, Zekun, Chen, Jingchang, Fan, Huiming, Shan, Liping, Yang, Qing, Xu, Dongliang, Liu, Ming, Qin, Bing
The colossal parameters and computational overhead of Large Language Models (LLMs) challenge their real-world applications. Network pruning, which targets unstructured or structured sparsity by removing redundant parameters, has recently been explore
Externí odkaz:
http://arxiv.org/abs/2409.13199
Autor:
Zhang, Shenglin, Zhu, Pengtian, Ma, Minghua, Wang, Jiagang, Sun, Yongqian, Li, Dongwen, Wang, Jingyu, Guo, Qianying, Hua, Xiaolei, Zhu, Lin, Pei, Dan
Large language models (LLMs) excel at general question-answering (Q&A) but often fall short in specialized domains due to a lack of domain-specific knowledge. Commercial companies face the dual challenges of privacy protection and resource constraint
Externí odkaz:
http://arxiv.org/abs/2408.12247
Autor:
Shetty, Manish, Chen, Yinfang, Somashekar, Gagan, Ma, Minghua, Simmhan, Yogesh, Zhang, Xuchao, Mace, Jonathan, Vandevoorde, Dax, Las-Casas, Pedro, Gupta, Shachee Mishra, Nath, Suman, Bansal, Chetan, Rajmohan, Saravan
The rapid growth in the use of Large Language Models (LLMs) and AI Agents as part of software development and deployment is revolutionizing the information technology landscape. While code generation receives significant attention, a higher-impact ap
Externí odkaz:
http://arxiv.org/abs/2407.12165
Autor:
Sun, Yongqian, Wang, Jiaju, Li, Zhengdan, Nie, Xiaohui, Ma, Minghua, Zhang, Shenglin, Ji, Yuhe, Zhang, Lu, Long, Wen, Chen, Hengmao, Luo, Yongnan, Pei, Dan
AIOps algorithms play a crucial role in the maintenance of microservice systems. Many previous benchmarks' performance leaderboard provides valuable guidance for selecting appropriate algorithms. However, existing AIOps benchmarks mainly utilize offl
Externí odkaz:
http://arxiv.org/abs/2407.14532
Autor:
Zhang, Shenglin, Xia, Sibo, Fan, Wenzhao, Shi, Binpeng, Xiong, Xiao, Zhong, Zhenyu, Ma, Minghua, Sun, Yongqian, Pei, Dan
Modern microservice systems have gained widespread adoption due to their high scalability, flexibility, and extensibility. However, the characteristics of independent deployment, decentralization, and frequent dynamic interactions also introduce the
Externí odkaz:
http://arxiv.org/abs/2407.01710
Autor:
Liu, Jun, Zhang, Chaoyun, Qian, Jiaxu, Ma, Minghua, Qin, Si, Bansal, Chetan, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei
Time series anomaly detection (TSAD) plays a crucial role in various industries by identifying atypical patterns that deviate from standard trends, thereby maintaining system integrity and enabling prompt response measures. Traditional TSAD models, w
Externí odkaz:
http://arxiv.org/abs/2405.15370
Autor:
Zhang, Chaoyun, Ma, Zicheng, Wu, Yuhao, He, Shilin, Qin, Si, Ma, Minghua, Qin, Xiaoting, Kang, Yu, Liang, Yuyi, Gou, Xiaoyu, Xue, Yajie, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
Verbatim feedback constitutes a valuable repository of user experiences, opinions, and requirements essential for software development. Effectively and efficiently extracting valuable insights from such data poses a challenging task. This paper intro
Externí odkaz:
http://arxiv.org/abs/2403.15157
Autor:
Zhang, Chaoyun, Li, Liqun, He, Shilin, Zhang, Xu, Qiao, Bo, Qin, Si, Ma, Minghua, Kang, Yu, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a dual-agent framework to meticulously observe and analyze the graphical user int
Externí odkaz:
http://arxiv.org/abs/2402.07939
Autor:
Wang, Zexin, Pei, Changhua, Ma, Minghua, Wang, Xin, Li, Zhihan, Pei, Dan, Rajmohan, Saravan, Zhang, Dongmei, Lin, Qingwei, Zhang, Haiming, Li, Jianhui, Xie, Gaogang
Time series Anomaly Detection (AD) plays a crucial role for web systems. Various web systems rely on time series data to monitor and identify anomalies in real time, as well as to initiate diagnosis and remediation procedures. Variational Autoencoder
Externí odkaz:
http://arxiv.org/abs/2402.02820
Autor:
Zhang, Xuchao, Ghosh, Supriyo, Bansal, Chetan, Wang, Rujia, Ma, Minghua, Kang, Yu, Rajmohan, Saravan
Root Cause Analysis (RCA) plays a pivotal role in the incident diagnosis process for cloud services, requiring on-call engineers to identify the primary issues and implement corrective actions to prevent future recurrences. Improving the incident RCA
Externí odkaz:
http://arxiv.org/abs/2401.13810