1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 1 cited
Inside-Out: Hidden Factual Knowledge in LLMs
Zorik Gekhman, Eyal Ben David, Hadas Orgad +5
This work presents a framework for assessing whether large language models (LLMs) encode more factual knowledge in their parameters than what they express in their outputs. While a…
cs.CL2023★ 1 cited
Measuring the Robustness of NLP Models to Domain Shifts
Nitay Calderon, Naveh Porat, Eyal Ben-David +5
Existing research on Domain Robustness (DR) suffers from disparate setups, limited task variety, and scarce research on recent capabilities such as in-context learning. Furthermore…