27 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions
Oded Ovadia, Meni Brief, Rachel Lemberg +1
While Large Language Models (LLMs) acquire vast knowledge during pre-training, they often lack domain-specific, new, or niche information. Continual pre-training (CPT) attempts to…
cs.AI2024★ 27 cited
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli +1
Large language models (LLMs) encapsulate a vast amount of factual information within their pre-trained weights, as evidenced by their ability to answer diverse questions across dif…
cs.CV2023★ 1 cited
ViTO: Vision Transformer-Operator
Oded Ovadia, Adar Kahana, Panos Stinis +2
We combine vision transformers with operator learning to solve diverse inverse problems described by partial differential equations (PDEs). Our approach, named ViTO, combines a U-N…