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Large-scale cloud systems play a pivotal role in modern IT infrastructure.
A Guide to the SQL Standard
Chris J Date · 1989
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Bleu: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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When and how to develop domain-specific languages
Marjan Mernik, Jan Heering, and Anthony M Sloane · 2005
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Understanding source code evolution using abstract syntax tree matching
Iulian Neamtiu, Jeffrey S Foster, and Michael Hicks · 2005
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
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Static code analysis
Panagiotis Louridas · 2006
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Cloud computing: issues and challenges
Tharam Dillon, Chen Wu, and Elizabeth Chang · 2010
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Towards incident handling in the cloud: challenges and approaches
Bernd Grobauer and Thomas Schreck · 2010
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Distance weighted cosine similarity measure for text classification
Baoli Li and Liping Han · 2013
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Correlating events with time series for incident diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, and Zhe Wang · 2014
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Sqlnet: Generating structured queries from natural language without reinforcement learning, 2017
Xiaojun Xu, Chang Liu, and Dawn Song · 2017
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Semantics and complexity of graphql
Olaf Hartig and Jorge Pérez · 2018
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A call for clarity in reporting bleu scores
Matt Post · 2018
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Deep learning in mobile and wireless networking: A survey
Chaoyun Zhang, Paul Patras, and Hamed Haddadi · 2019
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Time-series anomaly detection service at microsoft
Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, and Qi Zhang · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task, 2019
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, et al · 2020
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Microscope: mobile service traffic decomposition for network slicing as a service
Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, and Paul Patras · 2020
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Working with prometheus query language (promql)
Navin Sabharwal, Piyush Pandey, Navin Sabharwal, and Piyush Pandey · 2020
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Deeptriage: Automated transfer assistance for incidents in cloud services
Phuong Pham, Vivek Jain, Lukas Dauterman, Justin Ormont, and Navendu Jain · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Codebleu: a method for automatic evaluation of code synthesis, 2020
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma · 2020
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Code to comment" translation" data, metrics, baselining & evaluation
David Gros, Hariharan Sezhiyan, Prem Devanbu, and Zhou Yu · 2020
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Onion: identifying incident-indicating logs for cloud systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, et al · 2021
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Cloudlstm: A recurrent neural model for spatiotemporal point-cloud stream forecasting
Chaoyun Zhang, Marco Fiore, Iain Murray, and Paul Patras · 2021
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Knowledge graph and deep learning-based text-to-graphql model for intelligent medical consultation chatbot
Pin Ni, Ramin Okhrati, Steven Guan, and Victor Chang · 2022
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S2sql: Injecting syntax to question-schema interaction graph encoder for text-to-sql parsers
Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Yanyang Li, Bowen Li, Jian Sun, and Yongbin Li · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Aegis: Attribution of control plane change impact across layers and components for cloud systems
Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, and Dongmei Zhang · 2023
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A review on amazon web service (aws), microsoft azure & google cloud platform (gcp) services
Bulbul Gupta, Pooja Mittal, and Tabish Mufti · 2021
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How long will it take to mitigate this incident for online service systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, et al · 2021
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Neural knowledge extraction from cloud service incidents
Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, and Thomas Zimmermann · 2021
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Fighting the fog of war: Automated incident detection for cloud systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, et al · 2021
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Zero-infinity: Breaking the gpu memory wall for extreme scale deep learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, and Yuxiong He · 2021
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Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation
Yue Wang, Weishi Wang, Shafiq Joty, and Steven CH Hoi · 2021
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Translating math formula images to latex sequences using deep neural networks with sequence-level training
Zelun Wang and Jyh-Charn Liu · 2021
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Assess and summarize: Improve outage understanding with large language models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, et al · 2023
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Conan: Diagnosing batch failures for cloud systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, et al · 2023
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Robust multimodal failure detection for microservice systems
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Traceark: Towards actionable performance anomaly alerting for online service systems
Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, et al · 2023
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Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback
Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, et al · 2023
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Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection
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An evaluation of log parsing with chatgpt
Van-Hoang Le and Hongyu Zhang · 2023
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Enhancing llm with evolutionary fine tuning for news summary generation
Le Xiao and Xiaolin Chen · 2023
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Everything of thoughts: Defying the law of penrose triangle for thought generation
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Recommending root-cause and mitigation steps for cloud incidents using large language models
Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan · 2023
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Splunk Search Processing Language (SPL), howpublished = https://docs.splunk.com/documentation/splunk/latest/searchreference/sqltosplunk , note = Accessed: 2023-07-06
2023
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Empowering practical root cause analysis by large language models for cloud incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, et al · 2023
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GPT-4 technical report, 2023
OpenAI · 2023
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Llama: Open and efficient foundation language models
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
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Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation, 2023
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Codet5+: Open code large language models for code understanding and generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi · 2023
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A survey on deep learning approaches for text-to-sql
George Katsogiannis-Meimarakis and Georgia Koutrika · 2023
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A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability
Aiwei Liu, Xuming Hu, Lijie Wen, and Philip S Yu · 2023
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