Yu Su
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Yu Su, Associate Professor, Ohio State University (United States), ranks #449/520 on the AI Advancement Index (62.2). Known for Co-creator of Mind2Web and SeeAct web agents and the MMMU multimodal benchmark; research on language agents and grounded reasoning.
Dimension read
| Dimension | Value | Standing | What a high vs low value means, and where Yu Su sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 62.2 | Developing · #447/520 | Low here, lower relative influence within this elite set. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 62.0 | Developing · #402/520 | Low here, limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 56.0 | Developing · #395/520 | Low here, removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 58.0 | Developing · #385/520 | Low here, limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 60.0 | Developing · #385/520 | Low here, limited field-building footprint. ▲ high: builds the field, mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 76.0 | Moderate · #276/520 | Mid-pack. High would mean driving AI's advancement right now; low would mean less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- No standout dimension.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
AI worldview
Ideas & positions
Yu Su's research focuses on developing multimodal agents capable of interacting with complex environments, such as the web, through natural language and visual understanding. She is a co-creator of Mind2Web and SeeAct, which are web agents designed to perform tasks by understanding and acting on user instructions. Her work emphasizes grounded reasoning, where AI systems can reason about the physical world and human intentions. While she has not made extensive public statements on existential risk, open vs closed models, or regulation, her research suggests a strong belief in the importance of robust, context-aware AI systems.
What shapes the view
Yu Su's academic background and research at Ohio State University have shaped her focus on multimodal and interactive AI. Her work is driven by the need for AI systems that can understand and interact with the world in more human-like ways, which reflects a practical and application-oriented approach. Her professional history in academia and her contributions to benchmarks like MMMU indicate a commitment to advancing the field through rigorous scientific methods and real-world applications.
The AI-powered future they see
Yu Su predicts a future where AI agents will be seamlessly integrated into everyday life, assisting users in a wide range of tasks from web navigation to complex problem-solving. She promotes the development of AI systems that can understand and adapt to human needs and environments, leading to more intuitive and effective interactions. Her work suggests a future where AI enhances human capabilities rather than replaces them.