Graph-constrained path selection on contextual keyword centroids decouples path enumeration from teacher verbalization to scale multi-hop QA data from plain text, enabling 4.4x corpus expansion and raising closed-book Token F1 from 21.66% to 38.58% on CUAD legal contracts.
Automatic inter- document multi-hop scientific QA generation
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Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
Graph-constrained path selection on contextual keyword centroids decouples path enumeration from teacher verbalization to scale multi-hop QA data from plain text, enabling 4.4x corpus expansion and raising closed-book Token F1 from 21.66% to 38.58% on CUAD legal contracts.