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Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference
AbstractThis paper presents Diff-Explainer, the first hybrid framework for explainable multi-hop inference that integrates explicit constraints with neural architectures through differentiable convex optimization. Specifically, Diff- Explainer allows for the fine-tuning …...