most citedOpen LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

3 citations · 3 across the 2 of their papers we have counts for

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cs.LG2025

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs

Xun Wang, Jing Xu, Franziska Boenisch +3

Prompting has become a dominant paradigm for adapting large language models (LLMs). While discrete (textual) prompts are widely used for their interpretability, soft (parameter) pr…

cs.LG2024★ 3 cited

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Vincent Hanke, Tom Blanchard, Franziska Boenisch +3

While open Large Language Models (LLMs) have made significant progress, they still fall short of matching the performance of their closed, proprietary counterparts, making the latt…