AI-Powered Reviewsbefore Journal Submission

With the advent of Large Language Models (LLMs), the number of scientific manuscript submissions is rapidly increasing. Traditional peer review and publication systems are becoming increasingly overburdened, resulting in slower publication times, higher costs, and reduced consistency. As a consequence, the integrity and scalability of scientific knowledge distribution are under growing strain.

The Rigorous project at ETH Zurich explores how LLMs and AI agents can support the scientific review and publication process. By embedding AI into the review pipeline, we aim to accelerate the flow of scientific knowledge, while preserving (and potentially enhancing) its quality, transparency, fairness, and trustworthiness.