Graph of Thought: Boosting Logical Reasoning in LLMs

This paper proposes representing intermediate reasoning steps as a graph rather than a linear chain. While Chain-of-Thought (CoT) forces reasoning into a sequence, graph-structured representations allow:

  • Branching: exploring multiple reasoning paths simultaneously
  • Merging: combining conclusions from different sub-problems
  • Cycles: iterative refinement of intermediate conclusions

The graph-of-thought framework generalizes CoT and Tree-of-Thought and shows improvements on multi-step logical reasoning benchmarks that require non-linear deduction.




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