{"total":22,"rows":[{"id":"2404.18001","title":"LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing","created":"2024-04-27","cited_by_count":32,"area":null},{"id":"2408.13727","title":"LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models","created":"2024-08-25","cited_by_count":20,"area":null},{"id":"2306.01590","title":"Log Parsing: How Far Can ChatGPT Go?","created":"2023-06-02","cited_by_count":16,"area":null},{"id":"2304.04661","title":"AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges","created":"2023-04-10","cited_by_count":15,"area":null},{"id":"2309.07938","title":"An Assessment of ChatGPT on Log Data","created":"2023-09-14","cited_by_count":12,"area":null},{"id":"2409.04834","title":"Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study","created":"2024-09-07","cited_by_count":8,"area":null},{"id":"2308.08736","title":"On the Effectiveness of Log Representation for Log-based Anomaly Detection","created":"2023-08-17","cited_by_count":6,"area":null},{"id":"2409.13561","title":"Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis","created":"2024-09-20","cited_by_count":6,"area":null},{"id":"2405.13548","title":"ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing","created":"2024-05-22","cited_by_count":5,"area":null},{"id":"2409.02474","title":"A Comparative Study on Large Language Models for Log Parsing","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2501.11031","title":"AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model","created":"2025-01-19","cited_by_count":4,"area":null},{"id":"2408.01585","title":"LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models","created":"2024-08-02","cited_by_count":3,"area":null},{"id":"2504.04877","title":"System Log Parsing with Large Language Models: A Review","created":"2025-04-07","cited_by_count":3,"area":null},{"id":"2408.08300","title":"HELP: Hierarchical Embeddings-based Log Parsing","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2409.01909","title":"LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models","created":"2024-09-03","cited_by_count":2,"area":null},{"id":"2504.07839","title":"Deep Learning-based Intrusion Detection Systems: A Survey","created":"2025-04-10","cited_by_count":2,"area":null},{"id":"2508.18554","title":"SchemaCoder: Automatic Log Schema Extraction Coder with Residual Q-Tree Boosting","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2301.12225","title":"Interactive Log Parsing via Light-weight User Feedback","created":"2023-01-28","cited_by_count":0,"area":null},{"id":"2506.01147","title":"A Word is Worth 4-bit: Efficient Log Parsing with Binary Coded Decimal Recognition","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2601.07005","title":"MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2606.31781","title":"SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2610.16412","title":"SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}