18 citations · 53 across the 10 of their papers we have counts for
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cs.CL2024
Enhancing Data Privacy in Large Language Models through Private Association Editing
Davide Venditti, Elena Sofia Ruzzetti, Giancarlo A. Xompero +4
Large language models (LLMs) require a significant redesign in solutions to preserve privacy in data-intensive applications due to their text-generation capabilities. Indeed, LLMs…
cs.CL2024★ 4 cited
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
Federico Ranaldi, Elena Sofia Ruzzetti, Dario Onorati +5
Understanding textual description to generate code seems to be an achieved capability of instruction-following Large Language Models (LLMs) in zero-shot scenario. However, there is…