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Results: 5
Number of items: 5
  • Open Access
    Li, M., Zhang, P., Xing, W., Zheng, Y., Zaporojets, K., Chen, J., Zhang, R., Zhang, Y., Gong, S., Hu, J., Ma, X., Liu, Z., Groth, P., & Worring, M. (2026). A survey of large language models for data challenges in graphs. Expert Systems With Applications, 298(A), Article 129643. https://doi.org/10.1016/j.eswa.2025.129643
  • Open Access
    Cao, C., Zhang, P., & Bloem, J. (2026). Fusion Training for Mathematical Generalization in Large Language Models. In T. Y. S. S. Santosh, J. D. Rodriguez, & O. de Gibert (Eds.), The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) : Proceedings of the Conference. - Volume 4: Student Research Workshop : ACL 2026 : July 2-7, 2026 (pp. 712-724). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.acl-srw.64
  • Open Access
    Cao, C., Zhang, P., & Bloem, J. (2026). Graph-TempCZ: A Graph Representation of Software Mentions for Predicting Software Usage in Scientific Publications. In The Fifteenth Language Resources and Evaluation Conference (LREC 2026): Main Conference Proceedings : 13-15 May, 2026 (pp. 7791-7803). ELRA Language Resources Association. https://doi.org/10.63317/2jopizgg4dzo
  • Open Access
    Nevin, J., Zhang, P., Dimitrov, D., Lees, M., Groth, P., & Dietze, S. (2025). Understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis. In M. Alam, M. Rospocher, M. V. Erp, L. Hollink, & G. A. Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 69–85). (Lecture Notes in Artificial Intelligence; Vol. 15370). Springer. https://doi.org/10.1007/978-3-031-77792-9_5
  • Open Access
    Zhang, P., Cao, C., Zaporojets, K., & Groth, P. (2024). CYCLE: Cross-Year Contrastive Learning in Entity-Linking. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 3197-3206). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679702
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