‪Avi Caciularu‬‏
Scholar

‪Avi Caciularu‬‏

Google Scholar ID: fPG_0aQAAAAJ
Google Research
Natural Language ProcessingMachine LearningSignal Processing
Citations & Impact
All-time
Citations
2,381
 
H-index
25
 
i10-index
38
 
Publications
20
 
Co-authors
44
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 2025: Two papers accepted to EMNLP, one paper accepted to AACL Findings; 2024: One paper accepted to ACL, a technical report released, one paper accepted to ICML, a preprint on a benchmark for complex claim verification, a preprint on a complex aggregative reasoning dataset; May 2024: Paper 'Identifying User Goals From UI Trajectories' won the best paper award.
Research Experience
  • 2023-Present: Google Research, Research Scientist; 2022-2023: Google Research, Research Intern; 2022: Meta AI Research (FAIR), Research Intern; 2020-2022: AI2 (Semantic Scholar Team), Research Intern; 2018-2020: Microsoft, Research Intern.
Education
  • 2019-2023: Bar-Ilan University, PhD in Computer Science, supervised by Prof. Ido Dagan, Prof. Jacob Goldberger, and Dr. Arman Cohan; 2017-2019: Tel Aviv University, MSc in Electrical Engineering, supervised by Prof. David Burshtein; 2014-2018: Tel Aviv University, BSc in Computer Science and Electrical Engineering.
Background
  • Research Interests: Natural Language Processing (NLP), making large language models (LLMs) more factual, consistent, and knowledgeable; Professional Field: Developing and exploring advanced infrastructure for knowledge-intensive tasks in NLP, deep representation learning, AI explainability and transparency; Brief Introduction: Senior Research Scientist at Google Research, focusing on enhancing the factual accuracy of LLMs and their capabilities to perform complex reasoning.
Miscellany
  • Interested in the applications of information and coding theory, has conducted research on recommender systems.