LLM Framework Automates Telescope Proposal Review
Published:Dec 31, 2025 09:55
•1 min read
•ArXiv
Analysis
This paper addresses the critical bottleneck of telescope time allocation by automating the peer review process using a multi-agent LLM framework. The framework, AstroReview, tackles the challenges of timely, consistent, and transparent review, which is crucial given the increasing competition for observatory access. The paper's significance lies in its potential to improve fairness, reproducibility, and scalability in proposal evaluation, ultimately benefiting astronomical research.
Key Takeaways
- •AstroReview is an open-source, agent-based framework for automating telescope proposal review.
- •The framework uses LLMs to assess novelty, feasibility, and provide meta-reviews.
- •It achieves high accuracy in identifying accepted proposals and improves acceptance rates through iterative feedback.
- •The system doesn't require domain-specific fine-tuning for the meta-review stage.
- •The framework aims to improve fairness, reproducibility, and scalability in proposal evaluation.
Reference
“AstroReview correctly identifies genuinely accepted proposals with an accuracy of 87% in the meta-review stage, and the acceptance rate of revised drafts increases by 66% after two iterations with the Proposal Authoring Agent.”