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Bosch, J. E., & Foppolo, F. (2024). Prediction during spoken language processing in monolingual and multilingual children: Investigating the role of literacy. Linguistic Approaches to Bilingualism, 14(4), 512-543. https://doi.org/10.1075/lab.22099.bos -
Heitz, L., Inel, O., & Vrijenhoek, S. (2024). Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge. In Proceedings of Workshop on the RecSys Challenge 2024: October 14th, 2024, Bari (pp. 22-26). The Association for Computing Machinery. https://doi.org/10.1145/3687151.3687155 -
Miao, Y., Gritsev, V., & Kurlov, D. V. (2024). The Floquet Baxterisation. SciPost Physics, 16(3), Article 078. https://doi.org/10.21468/scipostphys.16.3.078 -
van Ditmarsch, H., & Gattinger, M. (2024). You can only be lucky once: optimal gossip for epistemic goals. Mathematical Structures in Computer Science, 34(7), 661-688. https://doi.org/10.1017/S0960129524000082 -
Blau, G., & Arnold, D. (2024). Debt, land and labour: Cambodian migrant workers’ precarious livelihood strategies. Global Social Policy, 24(2), 203-224. https://doi.org/10.1177/14680181241258062 -
Demircik, T., Gallegos, D., Gürsoy, U., Järvinen, M., & Lier, R. (2024). Holographic transport in anisotropic plasmas. Physical Review D, 110(6), Article 066007. https://doi.org/10.1103/physrevd.110.066007 -
Mokhberian, N., Marmarelis, M. G., Hopp, F. R., Basile, V., Morstatter, F., & Lerman, K. (2024). Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. In K. Duh, H. Gomez, & S. Bethard (Eds.), The 2024 Conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference: NAACL 2024 : June 16-21, 2024 (Vol. 1, pp. 7337-7349). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-long.407 -
Tong, X., Choenni, R., Lewis, M., & Shutova, E. (2024). Metaphor Understanding Challenge Dataset for LLMs. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2403.11810 -
Arabzadeh, N., Meng, C., Aliannejadi, M., & Bagheri, E. (2024). Query Performance Prediction: From Fundamentals to Advanced Techniques. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. V, pp. 381–388). (Lecture Notes in Computer Science; Vol. 14612). Springer. https://doi.org/10.1007/978-3-031-56069-9_51 -
Ezra, T., Leonardi, S., Reiffenhäuser, R., Russo, M., & Tsigonias-Dimitriadis, A. (2024). Prophet Inequalities via the Expected Competitive Ratio. In J. Garg, M. Klimm, & Y. Kong (Eds.), Web and Internet Economics: 19th International Conference, WINE 2023, Shanghai, China, December 4–8, 2023 : proceedings (pp. 272-289). (Lecture Notes in Computer Science; Vol. 14413), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-031-48974-7_16
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