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Cole, P. S., Gow, A. D., Byrnes, C. T., & Patil, S. P. (2024). Smooth vs instant inflationary transitions: steepest growth re-examined and primordial black holes. Journal of Cosmology and Astroparticle Physics, 2024(5), Article 022. https://doi.org/10.1088/1475-7516/2024/05/022 -
Chen, X., Liao, B., Qi, J., Eustratiadis, P., Monz, C., Bisazza, A., & de Rijke, M. (2024). The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 1691-1706). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.92 -
Steffenfauseweh, H., Vishnevskiy, Y. V., Neumann, B., Stammler, H.-G., de Bruin, B., & Ghadwal, R. S. (2024). N-Heterocyclic Carbene Analogues of Wittig Hydrocarbon. Chemistry - A European Journal, 30(26), Article e202400879. https://doi.org/10.1002/chem.202400879 -
Sergidou, E. K., Ypma, R., Rohdin, J., Worring, M., Geradts, Z., & Bosma, W. (2024). Fusing linguistic and acoustic information for automated forensic speaker comparison. Science & justice, 64(5), 485-497. https://doi.org/10.1016/j.scijus.2024.07.001 -
Bhalerao, V., Nissanke, S., & Daksha mission (2024). Science with the Daksha high energy transients mission. Experimental Astronomy, 57(3), Article 23. https://doi.org/10.1007/s10686-024-09923-1 -
Nadarajan, D., O'Brien, J., Cresswell, S., Kele, B., Mueller, J., & Bade, R. (2024). Application of design of experiment for quantification of 71 new psychoactive substances in influent wastewater. Analytica Chimica Acta, 1321, Article 343036. https://doi.org/10.1016/j.aca.2024.343036 -
ATLAS Collaboration (2024). Search for light long-lived neutral particles from Higgs boson decays via vector-boson-fusion production from pp collisions at √s = 13 TeV with the ATLAS detector. European Physical Journal C, 84(7), Article 719. https://doi.org/10.1140/epjc/s10052-024-12902-7 -
Groenendijk, R., Dorst, L., & Gevers, T. (2024). HaarNet: Large-Scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation. In S. Brunetti, A. Frosini, & S. Rinaldi (Eds.), Discrete Geometry and Mathematical Morphology: Third International Joint Conference, DGMM 2024, Florence, Italy, April 15–18, 2024 : proceedings (pp. 242–254). (Lecture Notes in Computer Science; Vol. 14605). Springer. https://doi.org/10.1007/978-3-031-57793-2_19
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