PreLog: A Pre-trained Model for Log Analytics
Summary: PreLog: foundation model for log analytics, pre-trained on unlabeled heterogeneous logs with log-specific entry/sequence objectives to capture semantics/structure. Prompt tuning casts downstream parsing and anomaly detection into the pretraining format, yielding unified, cost-effective transfer across tasks. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Van-Hoang Le (Chongqing University; The University of Newcastle)
- 2. Hongyu Zhang (Chongqing University)
BibTeX Citation
@inproceedings{le_sigmod24,
title = {{PreLog: A Pre-trained Model for Log Analytics}},
author = {Le, Van-Hoang and Zhang, Hongyu},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654966},
url = {https://dl.acm.org/doi/10.1145/3654966},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,422 | ANTEATER: A Filter-then-Scrutinize Architecture for End-to-End Attack Investigation | 2026 | SIGMOD | 4.9769913e-05 |
| 10,702 | Unseen Anomaly Detection from System Logs | 2026 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,467 | Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning | 2023 | SIGMOD | 8.4171827e-05 |
| 3,449 | Robust and Transferable Log-based Anomaly Detection | 2023 | SIGMOD | 7.2897426e-05 |
| 3,473 | Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration | 2023 | SIGMOD | 7.2697311e-05 |
| 4,250 | The Unified Logging Infrastructure for Data Analytics at Twitter | 2012 | VLDB | 6.7005978e-05 |
| 4,596 | AS-Parser: Log Parsing Based on Adaptive Segmentation | 2023 | SIGMOD | 6.5074617e-05 |
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|---|---|---|---|---|
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