Trial.pdf

The 2025 DeepReview framework introduces a 14-billion parameter model that utilizes multi-stage, human-like thinking to improve LLM-based scientific peer review, achieving high win rates against GPT-o1. This approach addresses key limitations in AI-driven review, including hallucinated reasoning and lack of domain expertise. Read the full study on ArXiv .