PerfEvolve equips LLM agents with executable skills from expert methods to enable dynamic, version-consistent, workload-specific tuning in PostgreSQL, outperforming documentation baselines by up to 35.2% on TPC-C and TPC-H.
LlamaTune: Sample-efficient DBMS configuration tuning
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
BCTuner is an LLM-guided MCTS framework that reports up to 211% throughput gains and 8x fewer system interactions than defaults or prior tuning methods on Fabric and ChainMaker.
MountDB extends RocksDB with Memtable-level model reuse and a block-aware learned disk index, reporting up to 1.5X write and 2.1X read throughput over state-of-the-art on large-scale workloads.
citing papers explorer
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A Case for Agentic Tuning: From Documentation to Action in PostgreSQL
PerfEvolve equips LLM agents with executable skills from expert methods to enable dynamic, version-consistent, workload-specific tuning in PostgreSQL, outperforming documentation baselines by up to 35.2% on TPC-C and TPC-H.
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BCTuner: LLM-Guided Monte Carlo Tree Search for Efficient Blockchain Knob Tuning
BCTuner is an LLM-guided MCTS framework that reports up to 211% throughput gains and 8x fewer system interactions than defaults or prior tuning methods on Fabric and ChainMaker.
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A Pragmatic Approach to Learned Indexing in RocksDB: Targeted Optimizations with Minimal System Modification
MountDB extends RocksDB with Memtable-level model reuse and a block-aware learned disk index, reporting up to 1.5X write and 2.1X read throughput over state-of-the-art on large-scale workloads.