author-in-the-loop

This paper introduces the Re3Align dataset, REspGen framework, and REspEval evaluation suite for author-in-the-loop response generation in peer review, integrating author expertise and intent signals. The work addresses gaps in NLP formulation of scientific rebuttal writing with comprehensive datasets, controllable generation frameworks, and multi-dimensional evaluation metrics.