Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection (2025.naacl-long)
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Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
| Challenge: | Existing prompting techniques for large language models depend on several parameters, such as the task, language model, and context provided. |
| Approach: | They propose an adaptive prompting approach that predicts the optimal prompt composition ad-hoc for a given input. |
| Outcome: | The proposed approach ensures high detection performance and is best in several settings. |
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