Yutaro Yamada

I am a Ph.D. student in Statistics and Data Science at Yale University. My research interests include LLM, (3D) vision & language, and robustness.

Preprints

Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi "L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects"
Machel Reid, Yutaro Yamada, Shixiang Shane Gu "Can Wikipedia Help Offline Reinforcement Learning?"
Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev "Evaluating gpt-4 and chatgpt on japanese medical licensing examinations"

Yutaro Yamada*, Yihan Bao*, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim "Evaluating Spatial Understanding of Large Language Models" , TMLR 2024
Yutaro Yamada*, Yingtian Tang*, Yoyo Zhang, Ilker Yildirim "When are Lemons Purple? The Concept Association Bias of Vision-Language Models" , EMNLP 2023. slide
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum "Support Recovery with Stochastic Gates: Theory and Application for Linear Models" , Signal Processing 2023.
Yutaro Yamada, Mayu Otani"Does Robustness on ImageNet Transfer to Downstream Tasks?" , CVPR 2022.
Yutaro Yamada, Sahand Negahban, Yuval Kluger, Ilker Yildirim "Exploiting 3D Shape Bias towards Robust Vision" , NeurIPS 2021 Workshop SVRHM.
Yutaro Yamada*, Ofir Lindenbaum*, Sahand Negahban, Yuval Kluger, "Feature Selection using Stochastic Gates" , ICML 2020.
Uri Shaham, Yutaro Yamada, Sahand Negahban, “Understanding Adversarial Training: Increasing local stability of supervised models through robust optimization”, Neurocomputing, 2018

Research Intern, Allen Institute for AI, Seattle | June 2023 - January 2024
Research Intern, CyberAgent AI Lab, Tokyo | June 2021 - July 2021
Research Intern, Efficiency and Peformance Team, Facebook Menlo Park | July 2019 - January 2020