1. Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.): Working Notes of CLEF 2023: Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings. CEUR-WS.org (2023)
2. Alva-Manchego, F., Martin, L., Scarton, C., Specia, L.: EASSE: easier automatic sentence simplification evaluation. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pp. 49–54. Association for Computational Linguistics, Hong Kong (2019). https://doi.org/10.18653/v1/D19-3009, https://aclanthology.org/D19-3009
3. Andermatt, P.S., Fankhauser, T.: UZH_Pandas at SimpleTextCLEF-2023: alpaca LoRA 7B and LENS model selection for scientific literature simplification. In: [1] (2023)
4. Anjum, A., Lieberum, N.: Automatic simplification of scientific texts using pre-trained language models: a comparative study at CLEF symposium 2023. In: [1] (2023)
5. Bertin, S.: Scientific simplification, the limits of ChatGPT. In: [1] (2023)