Peer Review

Peer review, the process of evaluating scholarly work by experts, aims to ensure research quality and integrity. Current research focuses on automating aspects of peer review using machine learning, particularly large language models (LLMs) and techniques like transfer learning and knowledge distillation, to address challenges such as bias, efficiency, and the increasing volume of submissions. These advancements offer the potential to improve the speed and fairness of the review process, ultimately enhancing the reliability and impact of scientific publications. However, ongoing research also addresses ethical concerns surrounding the use of AI in this critical process, including the detection of AI-generated reviews and the potential for bias amplification.