Yonatan Oren

yonatano (at) cs.stanford.edu

I am a technologist based in the San Francisco Bay Area. I am interested in machine learning, statistics, and large language models.

I earned a B.Sc. in Mathematics in 2020 and a M.Sc. in Computer Science in 2023 from Stanford University.

At Stanford, I worked with Tatsu Hashimoto on language modeling under distribution shift and retrieval-augmented language models for structured prediction and code generation. More recently, I have been working on developing statistical methods for studying memorization in large language models.

In graduate school, I served as a teaching assistant for courses in probability and statistics. During undergrad, I helped run TreeHacks.

[Resume] [Github] [LinkedIn]

Papers

• Proving Test Set Contamination in Black Box Language Models

  Yonatan Oren*, Nicole Meister*, Niladri Chatterji*, Faisal Ladhak, Tatsunori B. Hashimoto. Arxiv preprint.

• Distributionally Robust Language Modeling

  Yonatan Oren*, Shiori Sagawa* Tatsunori B. Hashimoto*, Percy Liang. EMNLP 2019.

• A Retrieve-and-Edit Framework for Predicting Structured Outputs

  Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang. NeurIPS 2018.

• Generating Sentences by Editing Prototypes

  Kelvin Guu*, Tatsunori B. Hashimoto*, Yonatan Oren, Percy Liang. ACL 2018.