VPR converts symbolic, constraint, or posterior oracles into dense turn-level rewards for RL, improving credit assignment in agentic reasoning and transferring to general benchmarks.
Judging llm-as-a-judge with mt-bench and chatbot arena
2 Pith papers cite this work. Polarity classification is still indexing.
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An agentic GraphRAG system using intent routing, bounded reflection, and state-machine output control answers Swiss commercial-registry questions with 0.83 factual correctness versus 0.14 for a vector-RAG baseline.
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Verifiable Process Rewards for Agentic Reasoning
VPR converts symbolic, constraint, or posterior oracles into dense turn-level rewards for RL, improving credit assignment in agentic reasoning and transferring to general benchmarks.
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Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis
An agentic GraphRAG system using intent routing, bounded reflection, and state-machine output control answers Swiss commercial-registry questions with 0.83 factual correctness versus 0.14 for a vector-RAG baseline.