{"total":16,"rows":[{"id":"2308.07610","title":"Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies","created":"2023-08-15","cited_by_count":38,"area":null},{"id":"2405.02213","title":"Automatic Programming: Large Language Models and Beyond","created":"2024-05-03","cited_by_count":36,"area":null},{"id":"2404.00640","title":"Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs","created":"2024-03-31","cited_by_count":17,"area":null},{"id":"2306.01590","title":"Log Parsing: How Far Can ChatGPT Go?","created":"2023-06-02","cited_by_count":16,"area":null},{"id":"2410.09352","title":"LogLM: From Task-based to Instruction-based Automated Log Analysis","created":"2024-10-12","cited_by_count":15,"area":null},{"id":"2412.01377","title":"Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge","created":"2024-12-02","cited_by_count":8,"area":null},{"id":"2512.11997","title":"Log Anomaly Detection with Large Language Models via Knowledge-Enriched Fusion","created":"2025-12-12","cited_by_count":8,"area":null},{"id":"2310.04701","title":"Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System","created":"2023-10-07","cited_by_count":7,"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":"2406.13604","title":"Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments","created":"2024-06-19","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":"2603.27247","title":"SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration","created":"2026-03-28","cited_by_count":0,"area":null},{"id":"2610.05807","title":"Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL","created":"2026-10-05","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}