Omri Uzan

I am an incoming Computer Science Ph.D. student at Stanford University, where I will join the Natural Language Processing Group and the Stanford AI Lab, starting in September 2025.

I’m currently an intern at IBM Research, working on RAG and multimodality. Before that, I've worked as a software engineer at Meta.

I completed my B.Sc. and M.Sc. in Computer Science at Ben Gurion University, where I conducted research under the guidance of Yuval Pinter.

Email / Scholar / X / Github / Linkedin

Research

I am always happy to discuss research. Feel free to reach out!

Conference Proceedings

	Greed is All You Need: An Evaluation of Tokenizer Inference Methods Omri Uzan, Craig W.Schmidt, Chris Tanner, Yuval Pinter ACL, 2024 (Oral) 🏆 Outstanding Paper Award 🏆 🏆 Senior Area Chair Paper Award 🏆
	Tokenization Is More Than Compression Craig W. Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner EMNLP, 2024 (Oral)

Preprints

Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge
Khuyagbaatar Batsuren, Ekaterina Vylomova, Verna Dankers, Tsetsuukhei Delgerbaatar, Omri Uzan, Yuval Pinter, Gábor Bella
Preprint

News

04.25 - I will be starting my Ph.D. at Stanford NLP in September 2025.

04.25 - I will be joining IBM Research for a summer internship from June to September 2025.

01.25 - Giving a talk on 'Greed is All You Need: An Evaluation of Tokenizer Inference Methods' at NLP-IL Journal Club.

09.24 - Tokenization Is More Than Compression was accepted to EMNLP 2024 main with an oral presentation.

08.24 - Greed is All You Need: An Evaluation of Tokenizer Inference Methods, received both an outstanding paper award and a senior area chair award at ACL 2024! 🏆

05.24 - Greed is All You Need: An Evaluation of Tokenizer Inference Methods accepted to ACL 2024 main!

This website is based on Jon Barron's website.