I am a Research Scientist at
Google Research, where I focus on natural language processing (NLP), and in particular making large language models (LLMs) more factual, consistent, and knowledgeable.
My academic journey includes completing a Ph.D. in Computer Science at the
BIU NLP Lab, where I had the privilege of working with
Prof. Ido Dagan,
Prof. Jacob Goldberger, and
Dr. Arman Cohan (from Yale). My previous education includes an M.Sc in Electrical Engineering under the supervision of
Prof. David Burshtein, and a B.Sc in Computer Science and Electrical Engineering, both from
Tel-Aviv University.
During my graduate studies, I had the opportunity to intern with leading teams at
AI2 (Semantic Scholar team),
Microsoft, and
Meta AI (FAIR Labs).
My research interests focus on developing and exploring advanced infrastructure for knowledge-intensive tasks in NLP. Specifically, I am invested in the pushing the existing boundaries of LLMs, particularly in ensuring their factual accuracy and enhancing their capabilities to perform tasks requiring complex reasoning. My work also extends into deep representation learning and into AI explainability and interpretability, which are crucial for building transparent and trustworthy AI systems.
In addition to my current pursuits, I have a strong foundation in information and coding theory, and I remain intrigued by its applications in modern AI. I've also conducted research on recommender systems, a field that continues to fascinate me due to its profound impact on user experience and decision-making.
I am always open to discussions and potential collaborations on these topics. If you have insights, questions, or are interested in exploring these areas together, please feel free to reach out.
Recent News
Sept. 2024 |
One paper accepted to NeurIPS 🙌 |
August 2024 |
A new preprint on a benchmark for complex claim verification. |
June 2024 |
A new preprint on a complex aggregative reasoning dataset. |
May 2024 |
Our technical report on LLMs for education is out |
May 2024 |
One paper accepted to ICML 🙌 |