Scholar
Omri Uzan
Google Scholar ID: uJvNbkYAAAAJ
PhD Student in Computer Science, Stanford University
Deep Learning
Natural Language Processing
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Citations & Impact
All-time
Citations
121
H-index
3
i10-index
3
Publications
5
Co-authors
12
list available
Contact
Twitter
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Publications
3 items
Document Optimization for Black-Box Retrieval via Reinforcement Learning
2026
Cited
0
Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
2025
Cited
0
CharBench: Evaluating the Role of Tokenization in Character-Level Tasks
2025
Cited
0
Resume (English only)
Academic Achievements
1. 'Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization', Preprint, 2025
2. 'CharBench: Evaluating the Role of Tokenization in Character-Level Tasks', AAAI 2026, Oral
3. 'Greed is All You Need: An Evaluation of Tokenizer Inference Methods', ACL 2024, Oral, Outstanding Paper Award, Senior Area Chair Award
4. 'Tokenization Is More Than Compression', EMNLP 2024, Oral
Research Experience
1. Software Engineer at Meta, working on server-side optimizations for mobile web interfaces and semantic retrieval for SEO applications
2. Intern at IBM Research, working on improved methods for multimodal retrieval
Education
1. Ph.D. in Computer Science, Stanford University, advised by Chris Potts and Douwe Kiela
2. M.Sc. in Computer Science, Ben-Gurion University, advised by Yuval Pinter
3. B.Sc. in Computer Science, Ben-Gurion University
Background
Ph.D. student in Computer Science at Stanford University, with research interests in multimodal retrieval and semantic retrieval.
Co-authors
12 total
Yuval Pinter
Ben-Gurion University of the Negev
Chris Tanner
Head of R&D at Kensho; Lecturer at MIT
Craig Schmidt
Kensho
Varshini Reddy
Kensho Technologies
Co-author 5
Kat Vylomova
University of Melbourne
Verna Dankers
Mila, McGill University
Co-author 8
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