@inproceedings{molfese-etal-2024-zebra, title = "{ZEBRA}: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering", author = "Molfese, Francesco Maria and Conia, Simone and Orlando, Riccardo and Navigli, Roberto", editor = "Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung", booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing", month = nov, year = "2024", address = "Miami, Florida, USA", publisher = "Association for Computational Linguistics", url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.emnlp-main.1251/", doi = "10.18653/v1/2024.emnlp-main.1251", pages = "22429--22444" }