AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work measures how much of that evidence a small language model can recover when it is post-trained on the verdicts alone, with no human evidence labels at any stage, to improve the evidence without anyone annotating it.
Calibrating the judge is a prerequisite for using citation rubrics as reward signals, and the results show that this calibration does not require the most expensive available model.
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