Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance

📰 ArXiv cs.AI

Defend is a system for automated rebuttals in peer review with minimal author guidance, leveraging Large Language Models (LLMs) and structured reasoning

advanced Published 31 Mar 2026
Action Steps
  1. Identify areas of disagreement between authors and reviewers
  2. Use LLMs to generate initial rebuttals
  3. Apply structured reasoning to refine and ground rebuttals in factual evidence
  4. Evaluate and refine the rebuttal generation process to improve accuracy and effectiveness
Who Needs to Know This

Researchers and authors on academic teams can benefit from Defend to improve the peer review process, while AI engineers and ML researchers can apply the system's techniques to other domains

Key Insight

💡 Large Language Models can be improved with structured reasoning to generate more accurate and effective rebuttals

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📚 Automate rebuttals in peer review with Defend, a system leveraging LLMs and structured reasoning 🤖
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