By this, I mean:
– Take an already-trained, frozen reasoning model (i.e. o4-mini via API)
– Add a smaller LLM that takes in a prompt, and rewrites it to improve how the frozen model performs
– Update the smaller LLM's weights, keep the larger LLM frozen The hope is that the
Optimizing Reasoning Models Through Prompt Rewriting Fine-tuning
By
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