Manling Li
Papers
1
Total Citations
5
H-Index
1
About
Manling Li is a rising star in artificial intelligence, whose research bridges natural language processing, computer vision, and robotics through the lens of multimedia reasoning and generative AI. Her work centers on enabling machines to understand and plan complex, goal-oriented tasks by integrating visual and textual information—a critical step toward more capable embodied agents. In her notable paper “Multimedia Generative Script Learning for Task Planning” (2023), Li tackles the challenge of generating subsequent steps to achieve a goal by leveraging historical visual states, a key innovation for assisting robots or humans in performing everyday activities. Though early in her career, her contributions are already shaping how AI systems learn procedural knowledge from multimodal data. With a focus on grounding language in visual perception, Li is pushing the boundaries of task planning and script learning, laying the groundwork for more intuitive human-AI collaboration. Her work promises to impact fields from household robotics to assistive technology, marking her as a researcher to watch in the evolving landscape of multimodal AI.
Research Focus
Key Achievements
Top Papers
- 1Multimedia Generative Script Learning for Task Planning5 citations · 2023