Computational graphs replace free-form reasoning for verifiable LLM outputs

The Structural Chain-of-Thought method trains models to generate executable directed acyclic graphs, improving accuracy, efficiency, and faithfulness across multiple benchmarks.

Industry
Petr Senatorov · Karim Vafin · Elena Tutubalina · Oleg Somov

MIPT · AIRI

Research Digest··2 min read
Senatorov et al.

The authors propose Graph-Based GRPO, an extension of Group Relative Policy Optimization that rewards structural validity, answer correctness, and node overlap with reference graphs.

Why this paper

From MIPT and AIRI

In one line

Training LLMs to generate executable computational graphs improves accuracy, cuts reasoning length 5-6x, and increases faithfulness versus chain-of-thought.

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