Lawrence Jang

Contact: ljang [at] cs [dot] cmu [dot] edu

Lawrence.jpeg

CMU Undergrad + MSML Student

Contact: ljang [at] cs [dot] cmu [dot] edu

I am a 5th Year Master’s in Machine Learning Student at Carnegie Mellon University. I am broadly interested in common-sense reasoning in multimodal agents, particularly within applications of memory and visual grounding. My research interests also include the intersection of reinforcement learning and LLMs.

At CMU, I have been grateful to collaborate with Prof. Ruslan Salakhutdinov, Prof. Daniel Fried, and Prof. Katerina Fragkiadaki. I also completed my undergraduate degree from CMU in Statistics and Machine Learning. I have done internships at Microsoft Research, the Chicago Cubs, and the MLB Commissioner’s Office.

I am passionate about teaching and have been involved with many course offerings at CMU as a teaching assistant, including 10-703 Deep Reinforcement Learning, 10-708 Probabilistic Graphical Models, 11-777 Multimodal Machine Learning, 36-401 Modern Regression, and 36-402 Advanced Data Analysis. I was also the 2024 Statistics Department TA of the Year and 2024 Machine Learning Department TA of the Year.

In my free time, I like to play basketball, cook Korean food, and travel. Feel free to reach out through email about anything!

selected publications

  1. vwaNEW.png
    VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
    Jing Yu Koh, Robert Lo, Lawrence Jang , and 7 more authors
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Aug 2024
  2. ical.png
    ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights
    Gabriel Sarch, Lawrence Jang, Michael Tarr , and 3 more authors
    In , Aug 2024
  3. waa.png
    Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
    Rogerio Bonatti, Dan Zhao, Francesco Bonacci , and 9 more authors
    Aug 2024
  4. mmoe.png
    MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
    Haofei Yu, Zhengyang Qi, Lawrence Jang , and 3 more authors
    Aug 2024