Red Teaming Contemporary AI Models: Insights from Spanish and Basque Perspectives

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Perez, E., Huang, S., Song, F., Cai, T., Ring, R., Aslanides, J., Glaese, A., McAleese, N., Irving, G.: Red Teaming Language Models with Language Models. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. pp. 3419–3448 (2022)

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Inie, N., Stray, J., Derczynski, L.: Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming. arXiv preprint arXiv:2311.06237 (2023)

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Dominique, B., Piorkowski, D., Nagireddy, M., Baldini, I.: Prompt Templates: A Methodology for Improving Manual Red Teaming Performance. In: ACM CHI Conference on Human Factors in Computing Systems (2024)

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Feffer, M., Sinha, A., Deng, W.H., Lipton, Z.C., Heidari, H.: Red-Teaming for generative AI: Silver bullet or security theater? In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. vol. 7, pp. 421–437 (2024)

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Ge, S., Zhou, C., Hou, R., Khabsa, M., Wang, Y.C., Wang, Q., Han, J., Mao, Y.: MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pp. 1927–1937 (2024)

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Mehrabi, N., Goyal, P., Dupuy, C., Hu, Q., Ghosh, S., Zemel, R., Chang, K.W., Galstyan, A., Gupta, R.: FLIRT: Feedback Loop In-context Red Teaming. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. pp. 703–718 (2024)

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Gonzalez-Agirre, A., Pàmies, M., Llop, J., Baucells, I., Da Dalt, S., Tamayo, D., Saiz, J.J., Espuña, F., Prats, J., Aula-Blasco, J., et al.: Salamandra Technical Report. arXiv preprint arXiv:2502.08489 (2025)