系统梳理AI如何辅助科研全流程，从假说生成到论文发表。
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
- 按假说提出、验证、论文撰写三阶段分类研究进展
- 涵盖科学论证、实验验证、同行评审等关键环节的AI应用
- 适合科研新手与跨领域研究者了解AI助研工具
科研是推动人类文明发展的根本过程，但耗费大量时间和精力。近年来，人工智能技术的快速发展促使研究者探索其在加速和提升科研中的潜力。本文系统综述该领域的进展，将相关研究分为三大类：假说提出、假说验证和论文发表。假说提出包括知识整合与假说生成；假说验证涵盖科学命题验证、定理证明与实验验证；论文发表则涉及写作与同行评审。同时，本文分析当前挑战与未来方向，并全面梳理各领域现有基准与工具，支持AI融入科研流程。资源已公开于 https://github.com/zkzhou126/AI-for-Research。
原文摘要 · Abstract (English)
Research is a fundamental process driving the advancement of human civilization, yet it demands substantial time and effort from researchers. In recent years, the rapid development of artificial intelligence (AI) technologies has inspired researchers to explore how AI can accelerate and enhance research. To monitor relevant advancements, this paper presents a systematic review of the progress in this domain. Specifically, we organize the relevant studies into three main categories: hypothesis formulation, hypothesis validation, and manuscript publication. Hypothesis formulation involves knowledge synthesis and hypothesis generation. Hypothesis validation includes the verification of scientific claims, theorem proving, and experiment validation. Manuscript publication encompasses manuscript writing and the peer review process. Furthermore, we identify and discuss the current challenges faced in these areas, as well as potential future directions for research. Finally, we also offer a comprehensive overview of existing benchmarks and tools across various domains that support the integration of AI into the research process. We hope this paper serves as an introduction for beginners and fosters future research. Resources have been made publicly available at https://github.com/zkzhou126/AI-for-Research.
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