TaiMing Lu

I'm an undergraduate student at Johns Hopkins University.

At Hopkins, I work with Prof. Daniel Khashabi, Phillip Koehn, and Alan Yuille.

I research Generative Foundation Models (e.g., LLMs, VLMs, Diffusion Models) and explore their possibilities. My interest spans Machine Learning, Natural Language Processing, and Computer Vision.

Google Scholar  /  Twitter  /  Github  |  tlu37@jhu.edu

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@EMNLP 2024

News
  • Selected Michael J. Muuss Undergraduate Research Award at JHU 🎇.
  • Genex accepted by ICLR 🥳.
  • Selected Finalist for CRA's Outstanding Undergraduate Researcher Award 🫡.
  • Genex (Generative World Explorer) is on arXiv! View our demo on project website or YouTube !
  • Poster presentation at EMNLP 🥸.

Publications
GenEx: Generating an Explorable World
Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan Yuille, Jieneng Chen
Paper | Project
Generative World Explorer
Taiming Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen
Paper | Project | Video | Poster
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
Taiming Lu, Muhan Gao, Kuai Yu, Adam Byerly, Daniel Khashabi
Paper | Code | Poster
Learn and Unlearn in Multilingual LLMs
Taiming Lu, Philipp Koehn
Paper | Code | Data
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
Taiming Lu, Lingfeng Shen, Xinyu Yang, Weiting Tan, Beidi Chen, Huaxiu Yao
Paper | Code

Others