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Logs are a first-hand source of information for software maintenance and failure diagnosis.
Language Models Are Few-Shot Learners
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Logmine: Fast Pattern Recognition for Log Analytics. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management . 1573–1582
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Cost of Data Center Outages
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Length Matters: Clustering System Log Messages Using Length of Words
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Attention Is All You Need
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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
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A Large-scale Benchmark for Log Parsing
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Cited alongside, same era.
Tools and Benchmarks for Automated Log Parsing. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . IEEE, 121–130
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, and Michael R Lyu. 2019 · 2019
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Logram: Efficient Log Parsing Using Nn-Gram Dictionaries
Hetong Dai, Heng Li, Che-Shao Chen, Weiyi Shang, and Tse-Hsun Chen. 2022 · 2020
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2020 · 2020
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A Semantic-Aware Representation Framework for Online Log Analysis. In 2020 29th International Conference on Computer Communications and Networks (ICCCN) . 1–7
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Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs
An Ran Chen, Tse-Hsun Chen, and Shaowei Wang. 2022 · 2021
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A Survey on Automated Log Analysis for Reliability Engineering
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, and Michael R. Lyu. 2021 · 2021
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Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) . 1448–1460
Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, and Wenbin Zhang. 2021 · 2021
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Calibrate Before Use: Improving Few-shot Performance of Language Models. In Proceedings of the 38th International Conference on Machine Learning . PMLR, 12697–12706
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021 · 2021
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Log Parsing: How Far Can ChatGPT Go?. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) . 1699–1704
Van-Hoang Le and Hongyu Zhang. 2023a · 2023
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Log Parsing with Prompt-Based Few-Shot Learning. In Proceedings of the 45th International Conference on Software Engineering (ICSE ’23) . IEEE Press, Melbourne, Victoria, Australia, 2438–2449
Van-Hoang Le and Hongyu Zhang. 2023b · 2023
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Pre-Train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023 · 2023
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An Assessment of ChatGPT on Log Data. In International Conference on AI-generated Content . Springer, 148–169
Priyanka Mudgal and Rita Wouhaybi. 2023 · 2023
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LogRule: Efficient Structured Log Mining for Root Cause Analysis
Paolo Notaro, Soroush Haeri, Jorge Cardoso, and Michael Gerndt. 2023 · 2023
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Log Parsing Evaluation in the Era of Modern Software Systems. In 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) . IEEE, 379–390
Stefan Petrescu, Floris Den Hengst, Alexandru Uta, and Jan S Rellermeyer. 2023 · 2023
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Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. In 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) . 355–366
Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, and Michael R. Lyu. 2023 · 2023
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Claude 3.5 Sonnet
Anthropic. 2024 · 2024
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ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units
Junjie Huang, Zhihan Jiang, Zhuangbin Chen, and Michael R Lyu. 2024 · 2024
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LILAC: Log Parsing Using LLMs with Adaptive Parsing Cache
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, and Michael R. Lyu. 2024 · 2024
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Stronger, Cheaper and Demonstration-Free Log Parsing with LLMs
Yi Xiao, Van-Hoang Le, and Hongyu Zhang. 2024 · 2024
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DivLog: Log Parsing with Prompt Enhanced In-Context Learning. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (ICSE ’24) . Association for Computing Machinery, New York, NY, USA, 1–12
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, and Pinjia He. 2024 · 2024
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