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verifiable-answers

topic1 events
papersSEP 10 04:00 UTC

arXiv paper proposes data-centric post-training pipeline for financial reasoning

A new research paper tackles the shortage of training data suitable for reasoning-focused fine-tuning in the financial domain, noting that most available QA pairs lack explicit reasoning steps, sufficient context, or reliably checkable answers. The authors present a pipeline that mines financial text, distills it into reasoning-oriented training examples, and applies learning with verifiable answers to improve model performance on financial tasks.

reasoning/finance/training-data/distillation