1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.DB2026
DiagDBench: Evaluating Agentic LLMs on Interactive Database Diagnosis and Anomaly Remediation
Xinxin Zhao, Rong Kang, Tieying Zhang +3
Database diagnosis and anomaly remediation are essential to reliable database management system (DBMS) operation. Despite advances in large language model (LLM)-based database agen…
cs.DB2025
LLMIA: An Out-of-the-Box Index Advisor via In-Context Learning with LLMs
Xinxin Zhao, Xinmei Huang, Haoyang Li +7
Index recommendation is crucial for optimizing database performance. However, existing heuristic- and learning-based methods often rely on inefficient exhaustive search and estimat…
cs.AI2024★ 1 cited
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
Xinmei Huang, Haoyang Li, Jing Zhang +7
Database knob tuning is a significant challenge for database administrators, as it involves tuning a large number of configuration knobs with continuous or discrete values to achie…