Meta Review

Meta-review, the synthesis of multiple research papers or reviews, aims to provide a comprehensive overview of a specific topic or field, identifying key trends, gaps, and areas for future research. Current research focuses on automating meta-review generation using large language models (LLMs) like BERT and T5, applying these techniques to diverse areas including scientific peer review, AI risk assessment, and industrial AI data challenges. This approach promises to accelerate scientific progress by efficiently summarizing existing knowledge and identifying critical research needs, ultimately improving the quality and efficiency of scientific research and its practical applications.