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Buchner, V. L., Cao, L., Kalo, J.-C., & von Ehrenheim, V. (2024). Prompt Tuned Embedding Classification for Industry Sector Allocation. In Y. Yang, A. Davani, A. Sil, & A. Kumar (Eds.), Annual Conference of the North American Chapter of the Association for Computational Linguistics - Industry Track: Proceedings of the Conference (Industry) : NAACL 2024 : June 16-21, 2024 (pp. 108-118). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-industry.10 -
Coveney, P. V., & Highfield, R. (2024). Artificial Intelligence Must Be Made More Scientific. Journal of Chemical Information and Modeling, 64(15), 5739-5741. https://doi.org/10.1021/acs.jcim.4c01091 -
Bonk, M., Hlushchanka, M., & Iseli, A. (2024). Eliminating Thurston obstructions and controlling dynamics on curves. Ergodic theory and dynamical systems, 44(9), 2454-2532. https://doi.org/10.1017/etds.2023.114 -
Xing, X., Groh, K., Karaoglu, S., & Gevers, T. (2024). Intrinsic-GS: Multi-view Intrinsic Image Decomposition Using Gaussian Splatting and Color-Invariant Priors. Color and Imaging Conference, 32(1), 56-63. https://doi.org/10.2352/cic.2024.32.1.12 -
ATLAS Collaboration (2024). Operation and performance of the ATLAS tile calorimeter in LHC Run 2. European Physical Journal C, 84(12), Article 1313. https://doi.org/10.1140/epjc/s10052-024-13151-4 -
The CTA consortium (2024). Prospects for a survey of the galactic plane with the Cherenkov Telescope Array. Journal of Cosmology and Astroparticle Physics, 2024(10), Article 081. https://doi.org/10.1088/1475-7516/2024/10/081
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