About

I am a PhD student at Bar-Ilan University, advised by Prof. Ido Dagan.

My research tackles the "hallucination" problem in Large Language Models. I develop methods to ensure grounded text generation is factual and easily verifiable[1]. I also explore how agents plan at test-time and how we can better align text-to-image generation.

Previously, I spent over a decade in the industry as a Data Scientist, Software Engineer and Team Lead.

📌 Selected Research

LAQuer teaser
ACL 2025
LAQuer: Localized Attribution Queries

A method for fine-grained attribution in content-grounded generation, allowing models to cite specific spans rather than full documents.

Paper Code
Attribute First teaser
ACL 2024
Attribute First, then Generate

A multi-step generation process creating localized attribution: select spans from the source, create a plan, then generate the output.

Paper Code
View All Publications →

📢 News

Jan 2026 Evidence Ranking accepted to EACL '26 main conference.
Jan 2026 Released AI Fact Checker, a Chrome extension for verifying claims in AI output against source citations.
Nov 2025 PrefixNLI preprint is now available online.
Jun 2025 GenerationPrograms accepted to COLM '25!
Jun 2025 Released CLATTER preprint.
May 2025 LAQuer accepted to ACL '25 main conference.