AI article
GraphProof-QA: Teaching a Small Model to Prove Its Answers
Community description: A 1.5B model that writes an executable graph query instead of answering from memory: 93.3% vs 34.2%, and 81.4% vs 5.8% on unseen names.
Dev.to | Oct 8, 2026 | Raihan
Automated excerpt
Large language models answer questions from memory. Only the task differs: System A (direct): fine-tuned to answer questions directly with entity names. System C (constrained): system B's adapter with xgrammar schema-constrained decoding.
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