A Brief Introduction to AI Agents and Their Applications in Academic Research
Large language models have given rise to a growing number of AI agent-based tools. Some users interact with LLMs mainly through chat interfaces, and some might still be exploring how to deeply integrate AI agents into their research workflows. This talk will discuss how AI agents can help improve efficiency in academic research. It will start with what AI agents are and how they assist with a series of tasks such as literature review, coding, editing, presentation and document formatting. This talk will categorize the current landscape of mainstream AI agents, along with useful techniques such as prompt engineering, context engineering, MCP, Skills, and multi-agent collaboration. Finally, recent agent-based research systems, emerging trends in research workflows, and the associated insights will be discussed.
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- 2nd Floor, Science and Technology Innovation Center, Sichuan University
- Chengdu, Sichuan
- China
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- Co-sponsored by Prof. Yingjie Zhou
Speakers
Shaotong Wang is working toward his Ph.D. degree in the College of Computer Science, Sichuan University. He received his B.S. degree in Information and Computing Science from Chengdu University of Technology. His current research interests include AI agents and security.