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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vMODB co-designs a Virtual Micro Service programming model with a system that unifies event and data management to enforce ACID properties in distributed asynchronous applications, outperforming eventual-consistency frameworks by up to 3x on two benchmarks.
The thesis proposes specialized algebraic, logical, and geometric methods to enable scalable reasoning over imprecise attributes, probabilistic triples, and incomplete schemas in knowledge graphs.
citing papers explorer
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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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vMODB: Unifying Event and Data Management for Distributed Asynchronous Applications
vMODB co-designs a Virtual Micro Service programming model with a system that unifies event and data management to enforce ACID properties in distributed asynchronous applications, outperforming eventual-consistency frameworks by up to 3x on two benchmarks.
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Scalable Uncertainty Reasoning in Knowledge Graphs
The thesis proposes specialized algebraic, logical, and geometric methods to enable scalable reasoning over imprecise attributes, probabilistic triples, and incomplete schemas in knowledge graphs.