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Results: 214,300
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  • Scholte, H. S., & de Haan, E. H. F. (2026). Beyond binding: specialization without segregation. Trends in Cognitive Sciences, 192-193. https://doi.org/10.1016/j.tics.2025.11.004
  • Ciampi, M., Ravi, D., Siniscalchi, L., & Xia, Y. (2026). Broadcast-Optimal Secure Computation from Black-Box Oblivious Transfer. In G. Hanaoka, & B.-Y. Yang (Eds.), Advances in Cryptology - ASIACRYPT 2025: 31st International Conference on the Theory and Application of Cryptology and Information Security, Melbourne, VIC, Australia, December 8–12, 2025 : proceedings (Vol. V, pp. 133-162). (Lecture Notes in Computer Science; Vol. 16249). Springer. https://doi.org/10.1007/978-981-95-5116-3_5
  • Ciampi, M., Damgárd, I., Ravi, D., Siniscalchi, L., & Yakoubov, S. (2026). Information-Theoretic Broadcast-Optimal MPC. In B. Applebaum, & H. Lin (Eds.), Theory of Cryptography: 23rd International Conference, TCC 2025, Aarhus, Denmark, December 1–5, 2025 : proceedings (Vol. I, pp. 152-181). (Lecture Notes in Computer Science; Vol. 16268). Springer. https://doi.org/10.1007/978-3-032-12287-2_6
  • Canetti, R., Damgård, I., Kolby, S., Ravi, D., & Yakoubov, S. (2026). Deniable Secret Sharing. In B. Applebaum, & H. Lin (Eds.), Theory of Cryptography : 23rd International Conference, TCC 2025, Aarhus, Denmark, December 1–5, 2025, Proceedings (Vol. II, pp. 399-427). (Lecture Notes in Computer Science; Vol. 16269 ). Springer. https://doi.org/10.1007/978-3-032-12293-3_13
  • Islam, N. T., & Zhao, Z. (2026). How Good are LLMs at Retrieving Documents in a Specific Domain? In G. De Tré, S. Sotirov, J. Kacprzyk, G. Psaila, G. Smits, T. Andreasen, G. Bordogna, & H. Legind Larsen (Eds.), Flexible Query Answering Systems: 16th International Conference, FQAS 2025, Burgas, Bulgaria, September 11–13, 2025 : proceedings (pp. 277-288). (Lecture Notes in Computer Science; Vol. 16119), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-032-05607-8_26
  • Jiang, W., Wu, F., Zhang, F., Chen, Q., Zhao, Z., & Guo, S. (2026). CRL-MM: Context-Aware Relational Learning and Multidimensional Matching for Few-Shot Knowledge Graph Completion. IEEE Transactions on Neural Networks and Learning Systems, 37(3), 1405-1419. https://doi.org/10.1109/TNNLS.2025.3615900
  • Polak, S., Lammes, S., Korsten, F.-W., Chouraqui, F., Ieven, B., Gekker, A., & Ince, S. (Eds.) (2026). Playing Politics in Digital Spaces. (Routledge Studies in Newe Media and Cyberculture; Vol. 76). Routledge. https://doi.org/10.4324/9781003629542
  • Huth, K. B. S., Haslbeck, J. M. B., Keetelaar, S., van Holst, R. J., & Marsman, M. (2026). Statistical Evidence in Psychological Networks. Nature Human Behaviour, 10(2), 333-346. https://doi.org/10.1038/s41562-025-02314-2
  • Schumacher, L., Kriston, L., Ebrahimi, O. V., Finnemann, A. T. K., Klein, J. F., & Haslbeck, J. M. B. (2026). A data re-analysis confirms the value of symptom networks in predicting psychotherapy outcome. World psychiatry, 25(1), 152-154. https://doi.org/10.1002/wps.70021
  • Open Access
    Icks, M. (2026). The Demon and the Prostitute: Justinian and Theodora in Procopius’s biographical Secret History from sixth-century CE Constantinople. In N. Gernalzick, E. Hagen, M. Icks, J. Keohane, & E. Shiraev (Eds.), Auto/Biography and Reputation Politics (pp. 109-128). (Routledge Auto/Biography Studies). Routledge. https://doi.org/10.4324/9781003355489-5
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