---
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://aclanthology.org/2025.naacl-long.122/).

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},
    year         = 2025,
    month        = apr,
    booktitle    = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
    publisher    = {Association for Computational Linguistics},
    address      = {Albuquerque, New Mexico},
    pages        = {2421--2449},
    isbn         = {979-8-89176-189-6},
    url          = {https://aclanthology.org/2025.naacl-long.122/},
    editor       = {Chiruzzo, Luis and Ritter, Alan and Wang, Lu}
}
```