Ning Tang

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation

2025 · arXiv (Cornell University)

The rapid growth of scientific literature demands robust tools for automated survey-generation. However, current large language model (LLM)-based methods often lack in-depth analysis, structural coherence, and reliable citations. To address these limitations, we introduce SciSage, …