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Zou, J., Sun, A., Long, C., Aliannejadi, M., & Kanoulas, E. (2023). Asking Clarifying Questions: To benefit or to disturb users in Web search? Information Processing and Management, 60(2), Article 103176. https://doi.org/10.1016/j.ipm.2022.103176 -
Keysers, C., & Gazzola, V. (2023). Vicarious Emotions of Fear and Pain in Rodents. Affective Science, 4(4), 662-671. https://doi.org/10.1007/s42761-023-00198-x -
Spaventa, G., Lami, L., & Plenio, M. B. (2023). On tests of the quantum nature of gravitational interactions in presence of non-linear corrections to quantum mechanics. Quantum, 7, Article 25. https://doi.org/10.22331/q-2023-10-25-1157 -
Blankers, M., Smits, M. L., Feenstra, D. J., Horn, E. K., Kamphuis, J. H., Bales, D. L., Lucas, Z., Remeeus, M. G. A., Dekker, J. J. M., Verheul, R., Busschbach, J. J. V., & Luyten, P. (2023). Economic Evaluation of Day Hospital Versus Intensive Outpatient Mentalization-Based Treatment Alongside a Randomized Controlled Trial With 36-Month Follow-Up. Personality Disorders: Theory, Research, and Treatment, 14(2), 207–215. https://doi.org/10.1037/per0000577 -
Guadeloupe, F., & Oostindie, G. (2023). Caribbean Diasporas, Metropolitan Policies, and Cultural Heritage. In A. van Stipriaan, L. Alofs, & F. Guadeloupe (Eds.), Caribbean Cultural Heritage and the Nation: Aruba, Bonaire and Curaçao in a regional context (pp. 251-270, 300-301). Leiden University Press. https://doi.org/10.24415/97807283827 -
Xu, X., Titov, I., & Lapata, M. (2023). Compositional Generalization for Data-to-Text Generation. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 9299-9317). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.623 -
Burghart, M., & Backhaus, S. (2023). The long-term consequences of family violence victimisation: An umbrella review of longitudinal meta-analyses. (v1 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/fnyej -
Moskalev, A., Sepliarskaia, A., Smeulders, A., & Sosnovik, I. (2023). LieGG: Studying Learned Lie Group Generators. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 33, pp. 25212-25223). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/a120382cf4e2e06d94d7ae7ac96fbe25-Abstract-Conference.html -
Oduor, B. O., Campo-Bescós, M. Á., Lana-Renault, N., & Casalí, J. (2023). Effects of climate change on streamflow and nitrate pollution in an agricultural Mediterranean watershed in Northern Spain. Agricultural Water Management, 285, Article 108378. https://doi.org/10.1016/j.agwat.2023.108378
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