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GraphProof-QA: Teaching a Small Model to Prove Its Answers

This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.

Or: what happens when a 1.5B model must show its work as an executable query — 93.3% vs 34.2%, and 81.4% vs 5.8% on names it never saw. The Problem Large language models answer questions from memory. When they don't know, they confabulate — confidently, fluently, wrongly. For high-stakes domains (l…

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  1. 2026-10-08 14:32 · DEV Community — Machine Learning
    GraphProof-QA: Teaching a Small Model to Prove Its Answers

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