ACL 2025 Findings paper: 'DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation'
ACM CS&Law 2025 paper: 'Beyond Benchmarks: On The False Promise of AI Regulation'
NeurIPS 2024 paper: 'Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models'
Oral presentation at ICAIL 2023: 'The Perfect Victim: Computational Analysis of Judicial Attitudes Towards Victims of Sexual Violence'
Editor of the ACL 2025 GEM² Workshop proceedings
Multiple patents filed during tenure at Microsoft, including: 'Anomalous Metrics Mitigation Proposal System in a Cloud Computing System' (2025), 'Assigning a relevance score to a new metric using natural language processing' (2025), 'Smart Metric Clustering' (2024), 'Evaluation Framework for Cloud Resource Optimization' (2024), 'Computing Resource Prediction for Optimizing Resource Utilization and Computing Workload Density' (2023)
Research Experience
PhD student in Computer Science at Hebrew University of Jerusalem, co-advised by Dr. Gabriel Stanovsky and Dr. Renana Keydar
Algorithm Developer at OrCam for two years
Data Scientist Intern at Microsoft
Summer research intern at Lightricks
Organizer of ACL 2025’s GEM² Workshop on Generation, Evaluation & Metrics
Background
PhD student in Computer Science at the Hebrew University of Jerusalem
Research focuses on Natural Language Processing (NLP)
Develops evaluation methodologies for Large Language Models (LLMs), especially addressing their sensitivity to prompt phrasing and other dimensions