Tag: Monte Carlo Tree Search
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SCPRM: Advanced Schema-aware Model for KG Question Answering
Discover SCPRM, a schema-aware reward model enhancing multi-hop reasoning in knowledge graph question answering with improved accuracy and reliability.
Boost Formal Theorem Provers Using Compiler Output Compression
Enhance formal theorem proving efficiency with compiler output compression and learning-to-refine frameworks for scalable, state-of-the-art reasoning.
Bilevel Optimization of Agent Skills Using MCTS
Explore bilevel optimization of agent skills with Monte Carlo Tree Search to enhance LLM agent performance and skill development efficiency.
AlphaCNOT: Efficient CNOT Gate Minimization via RL Planning
Discover AlphaCNOT, a model-based RL framework that reduces CNOT gate counts by up to 32%, optimizing quantum circuits for advanced quantum computing.
Chain-in-Tree: Efficient Sequential Reasoning for LLM Search
Discover Chain-in-Tree, a framework optimizing LLM tree search by reducing runtime and token use by up to 85% without losing accuracy in reasoning tasks.