Lawrence Jang

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

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CMU Undergrad + MSML Student

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

I am currently a Visiting Researcher on the Llama team at Meta and a recent 5th Year Master’s in Machine Learning Student graduate from Carnegie Mellon University. I am interested in instilling human capabilities and common-sense reasoning in multimodal agents.

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, and 11-777 Multimodal Machine Learning. I was the 2024 Statistics Department Undergraduate TA of the Year and 2024 Machine Learning Department TA of the Year.

In my free time, I like to play basketball and cook Korean food. I am happy to talk about collaborating - email me!

selected publications

  1. tac.png
    TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
    Frank F. Xu, Yufan Song, Boxuan Li , and 18 more authors
    In ArXiv Preprint , 2024
  2. bgym.png
    The BrowserGym Ecosystem for Web Agent Research
    Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin , and 17 more authors
    In arXiv Preprint , 2024
  3. headerFINAL.png
    VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
    Lawrence Jang, Yinheng Li, Charles Ding , and 5 more authors
    In ICLR , 2025
  4. waa.png
    Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
    Rogerio Bonatti, Dan Zhao, Francesco Bonacci , and 9 more authors
    In NeurIPS Safe and Trustworthy Agents Workshop (Oral) , 2024
  5. 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 NeurIPS Spotlight , 2024
  6. mmoe.png
    MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
    Haofei Yu, Zhengyang Qi, Lawrence Jang , and 3 more authors
    In EMNLP , 2024
  7. vwaNEW.png
    VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
    Jing Yu Koh, Robert Lo, Lawrence Jang , and 7 more authors
    In ACL , 2024