{"total":27,"rows":[{"id":"2311.07989","title":"Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code","created":"2023-11-14","cited_by_count":62,"area":null},{"id":"2507.12472","title":"A Survey of AIOps in the Era of Large Language Models","created":"2025-06-23","cited_by_count":19,"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":"2509.10858","title":"Large Language Models for Security Operations Centers: A Comprehensive Survey","created":"2025-09-13","cited_by_count":9,"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":"2502.15441","title":"On the Effectiveness of Large Language Models in Writing Alloy Formulas","created":"2025-02-21","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":"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":"2502.08576","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","created":"2025-02-12","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":"2510.24031","title":"LLMLogAnalyzer: A Clustering-Based Log Analysis Chatbot using Large Language Models","created":"2025-10-28","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":"2505.14976","title":"SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2510.10066","title":"OBsmith: LLM-Powered JavaScript Obfuscator Testing","created":"2025-10-11","cited_by_count":2,"area":null},{"id":"2604.20211","title":"Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs","created":"2026-04-22","cited_by_count":2,"area":null},{"id":"2411.02645","title":"Fine Grained Insider Risk Detection","created":"2024-11-04","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":"2510.26086","title":"LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2511.07458","title":"REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2511.14803","title":"Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study","created":"2025-11-17","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":"2609.23766","title":"TriFleetRCA: On-Premise LLM Root Cause Analysis for Kubernetes","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2610.14009","title":"When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads","created":"2026-09-29","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}