A physics knowledge graph plus Direct Preference Optimization reduces physically invalid AI recommendations in welding by 17% over knowledge-graph-only DPO, but the evidence is weakened by circular evaluation and no public code.
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders
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PKG-DPO: Optimizing Domain-Specific AI systems with Physics Knowledge Graphs and Direct Preference Optimization
A physics knowledge graph plus Direct Preference Optimization reduces physically invalid AI recommendations in welding by 17% over knowledge-graph-only DPO, but the evidence is weakened by circular evaluation and no public code.