AINeutralarXiv – CS AI · 10h ago6/10
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LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug-Disease Pairs
Researchers introduce TESSERA, a neuro-symbolic framework that combines Large Language Models with Monte Carlo Tree Search to extract multi-step explanations from knowledge graphs, specifically for drug-disease mechanism discovery. The system uses LLMs for local judgments rather than autonomous generation, enforcing structural constraints through knowledge graphs while employing MCTS for principled credit assignment across extended reasoning chains.