SEFRQO claims a self-evolving fine-tuned LLM with retrieval and execution feedback reduces query latency versus PostgreSQL, but the provided body is a different paper, blocking verification.
Loger: A learned optimizer towards generating efficient and robust query execution plans
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DB 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
SEFRQO claims a self-evolving fine-tuned LLM with retrieval and execution feedback reduces query latency versus PostgreSQL, but the provided body is a different paper, blocking verification.