RebuttalAgent

RebuttalAgent is a novel artificial intelligence framework specifically engineered to tackle the complex challenge of academic rebuttal, a critical yet underexplored aspect of the research workflow. Unlike previous approaches that merely mimic linguistic patterns, RebuttalAgent grounds its operation in Theory of Mind (ToM), enabling it to understand and model the mental states of reviewers. Its core mechanism is a ToM-Strategy-Response (TSR) pipeline, which first analyzes the reviewer's perspective, then formulates a tailored persuasion strategy, and finally generates a response aligned with that strategy. This innovative approach is crucial because academic rebuttal involves strategic communication under significant information asymmetry, requiring deep perspective-taking rather than simple technical debate. RebuttalAgent is poised to assist researchers and ML engineers in automating and enhancing the quality of their academic responses, thereby streamlining the peer review process and improving research communication.