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Self-Distillation Boosts Small Financial Models with Simple Hints
What is How Much Does the Hint Matter? Scope Conditions for Hindsight Self-Distillation in Financial Reasoning?
The authors show that letting a tiny language model teach itself using its own generated answers, augmented with brief hints, closes the accuracy gap on multi-step finance problems. This on-policy distillation works without sending data off-site, keeping models compliant with data-residency rules.
Who it is for
Financial engineers and compliance teams can adopt the technique to get better reasoning from locally-hosted models without sacrificing data privacy.