Differences

This shows you the differences between two versions of the page.

--- habrok:introduction:scientific_output [2026/06/04 08:30] – vlada
+++ habrok:introduction:scientific_output [2026/06/09 07:05] (current) – vlada
@@ Line 50: / Line 50: @@
   - Qin, T., van Benthem, K. J., Valente, L., & Etienne, R. S. (2026). Parameter Estimation from Phylogenetic Trees Using Neural Networks and Ensemble Learning. //Systematic Biology//, //75//(2), 344--365 [ [[http://dx.doi.org/10.1093/sysbio/syaf060|DOI]] | [[https://academic.oup.com/sysbio/article/75/2/344/8246660|http]] ]
   - Reitsma, M. L., Prinsen, E. H., Polet, J. D., Borschevsky, A., & Dyall, K. G. (2026). Relativistic quintuple-zeta basis sets for the p block. //The Journal of Chemical Physics//, //164//(6), 064112 [ [[http://dx.doi.org/10.1063/5.0311040|DOI]] | [[https://pubs.aip.org/jcp/article/164/6/064112/3379254/Relativistic-quintuple-zeta-basis-sets-for-the-p|http]] ]
+  - Satvaty, A., Verberne, S., & Turkmen, F. (2026). EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs. pages 4611--4625. Palma, Mallorca, Spain [ [[http://dx.doi.org/10.63317/59k6vkt3biya|DOI]] | [[https://lrec.elra.info/lrec2026-main-362|http]] ]
   - Scalena, D., Sarti, G., Bisazza, A., Fersini, E., & Nissim, M. (2026). Steering Large Language Models for Machine Translation Personalization. In //Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)//, pages 4681--4701. Association for Computational Linguistics, Rabat, Morocco [ [[http://dx.doi.org/10.18653/v1/2026.eacl-long.217|DOI]] | [[https://aclanthology.org/2026.eacl-long.217|http]] ]
   - Seong, M. H., Abbasiharofteh, M., Vos, D., & Koster, S. (2026). Smoothing the Edges: Reconceptualizing Space and Dealing With Modifiable Areal Unit Problems in (Un)Related Variety Research. //Geographical Analysis//, //58//(1), e70025 [ [[http://dx.doi.org/10.1111/gean.70025|DOI]] | [[https://onlinelibrary.wiley.com/doi/10.1111/gean.70025|http]] ]
@@ Line 149: / Line 150: @@
   - Ryu, J., Trager, S. C., & Wilkinson, M. H. F. (2025). A Shared-Memory Parallel Alpha-Tree Algorithm for Extreme Dynamic Ranges. //IEEE Transactions on Image Processing//, //34//, 6629--6640 [ [[http://dx.doi.org/10.1109/TIP.2025.3616578|DOI]] | [[https://ieeexplore.ieee.org/document/11196007/|http]] ]
   - Ryś, W., Lutsyk, I., Le Ster, M., et al. (2025). The coexistence of Dirac cones and Fermi arcs in a graphene/WTe<sub>2</sub> heterostructure. //Nanoscale//, //17//(46), 26835--26844 [ [[http://dx.doi.org/10.1039/D5NR03824C|DOI]] | [[https://xlink.rsc.org/?DOI=D5NR03824C|http]] ]
+  - Satvaty, A., Visman, A., Seidel, D., Verberne, S., & Turkmen, F. (2025). Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting. In //Proceedings of the First Workshop on Large Language Model Memorization (L2M2)//, pages 106--126. Association for Computational Linguistics, Vienna, Austria [ [[http://dx.doi.org/10.18653/v1/2025.l2m2-1.9|DOI]] | [[https://aclanthology.org/2025.l2m2-1.9|http]] ]
   - Shaheen, I., Brakman, S., Canello, J., & Garretsen, H. (2025). Firm interconnectedness and resilience: evidence from the Italian manufacturing. //Cambridge Journal of Regions, Economy and Society//, //18//(1), 211--226 [ [[http://dx.doi.org/10.1093/cjres/rsae034|DOI]] | [[https://academic.oup.com/cjres/article/18/1/211/7832401|http]] ]
   - Sidler, E., Hein, R., Stindt, C. N., & Feringa, B. L. (2025). Indeno[2,1‐ //c// ]fluorene Quasi[8]circulenes Through Intramolecular Cyclization. //Angewandte Chemie International Edition//, //64//(40), e202510583 [ [[http://dx.doi.org/10.1002/anie.202510583|DOI]] | [[https://onlinelibrary.wiley.com/doi/10.1002/anie.202510583|http]] ]