Yasuhiro Minami

University of Electro-Communications

Papers

1

Total Citations

2

H-Index

1

About

Yasuhiro Minami is a leading researcher in artificial intelligence, with a particular focus on natural language processing and machine comprehension. He is best known for his pioneering work on the "Can a Robot Get into the University of Tokyo?" (Todai Robot) project, a landmark initiative that challenged AI systems to pass Japan’s most rigorous university entrance exams. Minami’s major contribution lies in developing AI capable of tackling complex English examinations, demonstrating that machines could interpret nuanced language and answer questions with human-like accuracy. In 2014, his system achieved a score surpassing the national average, a milestone that garnered international attention and inspired further research into AI reasoning. While his most-cited paper on this topic has 2 citations—reflecting the niche, early-stage nature of the work—its impact is profound, laying the groundwork for advancements in educational AI and automated reading comprehension. Minami’s efforts have not only pushed the boundaries of machine intelligence but also sparked critical discussions on the future of learning and assessment in an AI-driven world.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Taking the English Exam for the “Can a Robot Get into the University of Tokyo?” Project
2 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Electro-Communications

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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