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Initial models and predictions commit
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---
license: cc-by-3.0
---
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
=======================================================================
Composition prediction models and classification predictions for each prompt composition for the paper [Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection](https://arxiv.org/abs/2502.06487).
For details, please see the published paper and the [GitHub repository](https://github.com/webis-de/naacl25-prompt-compositions).
```
@inproceedings{spliethover-etal-2025-adaptive,
title = "Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection",
author = Splieth{\"o}ver, Maximilian and Knebler, Tim and Fumagalli, Fabian and Muschalik, Maximilian and Hammer, Barbara and H{\"u}llermeier, Eyke and Wachsmuth, Henning,
booktitle = "Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics",
month = apr,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/2502.06487",
}
```