2 papers
cs.IR2026
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
Andrew Klearman, Radu Revutchi, Rohin Garg +3
Retrieval quality is the primary bottleneck for accuracy and robustness in retrieval-augmented generation (RAG). Current evaluation relies on heuristically constructed query sets,…
cs.DB2025
CoddLLM: Empowering Large Language Models for Data Analytics
Jiani Zhang, Hengrui Zhang, Rishav Chakravarti +6
Large Language Models (LLMs) have the potential to revolutionize data analytics by simplifying tasks such as data discovery and SQL query synthesis through natural language interac…