Nlp Rebuttal · yuangao-tum bundle Scenario playbook for answering a SPECIFIC reviewer concern in an NLP/ML/AI rebuttal — 28 concern types (novelty, simple combination, unclear motivation, weak baselines, marginal gains, missing ablations, no significance, data leakage, no human eval, reproducibility, and more), each with a bad-answer anti-pattern and a recommended-answer template. Use when drafting a reply to a concrete review comment, when the user quotes a reviewer ("the reviewer says...", "R2 complains..."), asks which strategy fits a concern, or asks for a rebuttal reply template. Complements write-rebuttal (overall process and tactics); this skill picks the response strategy per concern.
