{"total":19,"rows":[{"id":"2403.03008","title":"Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations","created":"2024-03-05","cited_by_count":31,"area":null},{"id":"2505.20099","title":"Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities","created":"2025-05-26","cited_by_count":31,"area":null},{"id":"2501.12372","title":"Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL","created":"2025-01-21","cited_by_count":30,"area":null},{"id":"2405.11706","title":"Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!","created":"2024-05-20","cited_by_count":18,"area":null},{"id":"2401.08517","title":"Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring","created":"2024-01-16","cited_by_count":11,"area":null},{"id":"2404.15604","title":"Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data","created":"2024-04-24","cited_by_count":7,"area":null},{"id":"2510.26840","title":"SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification","created":"2025-10-30","cited_by_count":4,"area":null},{"id":"2604.25149","title":"Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models","created":"2026-04-28","cited_by_count":3,"area":null},{"id":"2402.06608","title":"TIC: Translate-Infer-Compile for accurate \"text to plan\" using LLMs and Logical Representations","created":"2024-02-09","cited_by_count":2,"area":null},{"id":"2404.05893","title":"Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models","created":"2024-04-08","cited_by_count":2,"area":null},{"id":"2601.06564","title":"CSR-RAG: An Efficient Retrieval System for Text-to-SQL on the Enterprise Scale","created":"2026-01-10","cited_by_count":2,"area":null},{"id":"2410.09244","title":"Using off-the-shelf LLMs to query enterprise data by progressively revealing ontologies","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2506.18916","title":"HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2507.09389","title":"Knowledge Conceptualization Impacts RAG Efficacy","created":"2025-07-12","cited_by_count":0,"area":null},{"id":"2607.18029","title":"Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2608.16663","title":"Bounded Semantic Planning and Deterministic Compilation for Reliable Enterprise Text-to-SQL","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.23370","title":"Walking on the DARKSIDE","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.14652","title":"Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.22259","title":"Which Part of the Context Layer Does the Work? Separating Semantic Content from Retrieval Scaffolding in Text-to-SQL Agents","created":"2026-09-06","cited_by_count":0,"area":null}],"next_cursor":null}