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.
In-depth analysis of graph-based rag in a unified framework.Proc
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Agentic GraphRAG constructs a Neo4j graph via deterministic structured ingestion plus LLM extraction from notices, then deploys modular agents with tool access and reflection to outperform vector-RAG baselines on Swiss commercial gazette data across entity resolution, answer quality, and multi-turn
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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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Agentic GraphRAG: Navigating Unstructured Financial Data with Collaborative AI
Agentic GraphRAG constructs a Neo4j graph via deterministic structured ingestion plus LLM extraction from notices, then deploys modular agents with tool access and reflection to outperform vector-RAG baselines on Swiss commercial gazette data across entity resolution, answer quality, and multi-turn