Papers by Linda Ruth Petzold

1 papers
Position Really Matters: Towards a Holistic Approach for Prompt Tuning (2025.findings-naacl)

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Challenge: Prompt tuning is effective in extracting knowledge from foundation models, but its effectiveness is uncertain.
Approach: They propose a parametric prompt tuning strategy that dynamically determines different factors of prompts based on specific tasks or instances.
Outcome: The proposed approach improves performance across a wide range of tasks including NLP, vision recognition, and vision-language tasks.

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