Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
arXiv:2604.21495v1 Announce Type: cross
Abstract: Numerical reasoning over expert-domain tables often exhibits high in-domain accuracy but limited robustness to domain shift. Models trained with supervised fine-tuning (SFT) on specific datasets tend t…