Jiaxin Bai
Papers
2
Total Citations
8
H-Index
2
About
Jiaxin Bai is a leading researcher at the intersection of artificial intelligence and scientific discovery, with a primary focus on how Large Language Models (LLMs) are transforming research workflows. Their most influential work, the comprehensive survey "From Automation to Autonomy," charts the paradigm shift from LLMs as simple task-specific tools to autonomous agents capable of redefining the entire research process. This seminal paper, which has already garnered significant attention with 6 citations in its first year, systematically maps how AI is evolving from automating isolated tasks to independently driving hypothesis generation, experimental design, and knowledge synthesis. Bai's contributions provide a critical framework for understanding the future of human-AI collaboration in science, offering both a taxonomy of current capabilities and a roadmap for the next generation of autonomous scientific agents. Their work is essential reading for researchers and students seeking to grasp how LLMs are not just accelerating discovery but fundamentally reshaping the nature of scientific inquiry itself.
Research Focus
Key Achievements
Top Papers
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