#query-generation News & Analysis

3 articles tagged with #query-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · May 17/10

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Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Researchers present an end-to-end LLM framework that automates Security Operations Center (SOC) workflows by combining ensemble-based threat detection, syntax-constrained query generation, and retrieval-augmented resolution support. The system reduces incident triage time from hours to under 10 minutes while achieving 82.8% detection accuracy and improving resolution prediction from 78.3% to 90.0%.

AINeutralarXiv – CS AI · May 296/10

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EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL

EviLink is a new AI framework that improves Text-to-SQL systems by treating schema linking as an uncertainty-aware process across multiple SQL paths rather than a single deterministic selection. The approach balances schema completeness, relevance, and computational cost, achieving 90.15% field-level recall on Spider2-Snow while using fewer tokens than existing methods.

AIBullisharXiv – CS AI · Feb 276/106

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Towards Small Language Models for Security Query Generation in SOC Workflows

Researchers developed a three-stage framework using Small Language Models (SLMs) to automatically translate natural language queries into Kusto Query Language (KQL) for cybersecurity operations. The approach achieves high accuracy (98.7% syntax, 90.6% semantic) while reducing costs by up to 10x compared to GPT-4, potentially solving bottlenecks in Security Operations Centers.