A new dataset called GoodPoint-ICLR contains 19,000 papers and reviewer comments annotated via author responses. The researchers developed a training recipe to generate actionable, valid feedback instead of vague critiques. This approach leverages success signals from authors to refine model outputs. Practitioners can use these techniques to automate high-quality peer review assistance.