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Think-on-Graph (Sun et al., 2023) treats the LLM as an agent that iteratively executes beam search on a knowledge graph, discovering and evaluating reasoning paths. This agent-based framing reflects a move toward interpretable, step-wise reasoning akin to human problem-solving.

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