Yunsheng Ma

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I am currently a Research Intern at Bosch Center for Artificial Intelligence, focusing on Foundation Models for Autonomous Planning. I am also a second-year PhD student at Purdue University's Digital Twin Lab, advised by Prof. Ziran Wang. I earned my Master's degree in Computer Science from New York University in 2022. My research interests revolve around foundation models for generalizable autonomy, with a special focus on autonomous driving, vision-language models, multimodal learning, and embodied AI.

News

Sep 28, 2024 Co-organizing 3rd WACV 2025 Workshop on Large Language and Vision Models for Autonomous Driving 🔥
Sep 24, 2024 Successful Conclusion of the 2nd LLVM-AD Workshop at ITSC 2024 🚀
Sep 20, 2024 One paper accepted at EMNLP 2024 Findings 🎉
Sep 16, 2024 Beginning my research internship at Bosch Logo Bosch AI
Feb 26, 2024 Three papers accepted at CVPR 2024 🎉

Selected Publications Google Scholar Citations Badge

* Equal Contributions
  1. EMNLP
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    Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
    Yunsheng Ma, Xu Cao, Wenqian Ye, and 3 more authors
    In Findings of the Association for Computational Linguistics: EMNLP, 2024
  2. CVPR
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    LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
    Yunsheng Ma*, Can Cui*, Xu Cao*, and 9 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  3. CVPR
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    MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
    Xu Cao*, Tong Zhou*Yunsheng Ma*, and 8 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Professional Activities

As a Workshop Organizer

As a Reviewer

As a Volunteer

Selected Awards

I am inspired by Steve Jobs’ words: “Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven’t found it yet, keep looking. Don’t settle. As with all matters of the heart, you’ll know when you find it.”