Reviewer2: Optimizing Review Generation Through Prompt Generation

arXiv:2402.10886v1 Announce Type: new
Abstract: Recent developments in LLMs offer new opportunities for assisting authors in improving their work. In this paper, we envision a use case where authors can receive LLM-generated reviews that uncover weak points in the current draft. While initial methods for automated review generation already exist, these methods tend to produce reviews that lack detail, and they do not cover the range of opinions that human reviewers produce. To address this shortcoming, we propose an efficient …

abstract arxiv authors automated case cs.cl current draft generated llm llms opportunities paper prompt review reviews through type work