From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

ACL ARR 2025 February Submission7164 Authors

Abstract: 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 experimental 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.

Paper Type: Long

Research Area: NLP Applications

Research Area Keywords: AI for Research,Large language Model, hypothesis genaration, literature review, paper writing

Contribution Types: Surveys

Languages Studied: English

Submission Number: 7164