arXiv cs.CLPaper
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
This is a narrow but well-motivated application. Using rebuttal-answer pairs as implicit supervision for revision suggestions is clever. A 8B model trained on 40K examples reaches useful accuracy for pre-submission self-review workflows. If you're building writing tools or researcher-facing products, this approach to grounding feedback in what actually worked matters more than the specific model choice. Most companies won't implement this themselves, but it demonstrates a training pattern worth copying.