Omri Uzan
Scholar

Omri Uzan

Google Scholar ID: uJvNbkYAAAAJ
PhD Student in Computer Science, Stanford University
Deep LearningNatural Language Processing
Citations & Impact
All-time
Citations
121
 
H-index
3
 
i10-index
3
 
Publications
5
 
Co-authors
12
list available
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.