3 papers
cs.CL2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
Amit Rozner, Barak Battash, Lior Wolf +1
Large Language Models (LLMs) can become outdated over time as they may lack updated world knowledge, leading to factual knowledge errors and gaps. Knowledge Editing (KE) aims to ov…
cs.CV2024
Efficient Verification-Based Face Identification
Amit Rozner, Barak Battash, Ofir Lindenbaum +1
We study the problem of performing face verification with an efficient neural model . The efficiency of stems from simplifying the face verification problem from an embeddin…
cs.CV2024
Obtaining Favorable Layouts for Multiple Object Generation
Barak Battash, Amit Rozner, Lior Wolf +1
Large-scale text-to-image models that can generate high-quality and diverse images based on textual prompts have shown remarkable success. These models aim ultimately to create com…