In a joint collaboration between Harvard University, Carnegie Mellon University, Stanford University the January 12, 2026 paper "LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback" concludes: Interaction structure may substitute for model scale.Researchers at these institutions have collaborated to developed a new **multi-agent framework** called **LLM Review** to address the tendency of AI models to produce repetitive or unoriginal creative content. Unlike traditional collaborative systems that can lead to **content homogenization**, this method utilizes a **blind peer review** process where agents exchange critiques while maintaining their own **independent creative paths**. To test this approach, the authors introduced **SciFi-100**, a specialized dataset designed to measure the quality and **originality of science fiction writing**. The study concludes that this structured interaction allows **smaller AI models** to achieve better results than much larger single models. Ultimately, the paper suggests that the way AI agents **organize their feedback** is more important for fostering **creative diversity** than simply increasing the size of the model.Source:https://arxiv.org/pdf/2601.08003

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