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Omri Uzan
I am an incoming computer science Ph.D. student at Stanford University. Previously, I worked as a software engineer at Meta.
My interests are broad within deep learning and natural language processing. My past work has focused on benchmarking, neural IR, multimodality, tokenization algorithms in LLMs and their valuation methods.
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CharBench: Evaluating the Role of Tokenization in Character-Level Tasks
Omri Uzan, Yuval Pinter Preprint, 2025 |
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Tokenization Is More Than Compression
Craig W. Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner EMNLP, 2024 (Oral) |
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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 |