Resume
Academic Achievements
- Published multiple papers including 'The BrowserGym Ecosystem for Web Agent Research', 'From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty', 'AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?', and more.
Research Experience
- Currently interning at Meta FAIR (CodeGen); founding team member and research lead at Ask-AI, developing a generative AI sidekick that reasons over enterprise data; fortunate to have interned at Microsoft and AI2 during studies.
Education
- PhD candidate in Computer Science (3rd year) at Tel Aviv University, advised by Prof. Jonathan Berant (2024 Google PhD Fellow)
Background
- Research interests include Natural Language Processing, particularly in building and understanding systems that reason to perform complex tasks such as multi-hop question answering and multi-modal reasoning. Recent works focus on improving the performance, efficiency, and robustness of LLMs when augmented with external tools like search engines, code interpreters, and the entire web.