PEIKOS GEORGIOS

Milanese, G., Peikos, G., Pasi, G., Viviani, M. (2025). Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation. In Advances in Information Retrieval. ECIR 2025 (pp.192-200). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-88714-7_17]. Detail

Kasela, P., Braga, M., Sokli, E., Milanese, G., Peikos, G., Modha, S., et al. (2025). Overview of the PIR Track at FIRE 2024: Evaluation of Personalised Information Retrieval. In FIRE '24: Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation (pp.11-13). Association for Computing Machinery [10.1145/3734947.3735665]. Detail

(2024). Decision-Theoretic Models for Information Retrieval. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Detail

Peikos, G., Kasela, P., Pasi, G. (2024). Leveraging Large Language Models for Medical Information Extraction and Query Generation. In Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024 (pp.367-372). Institute of Electrical and Electronics Engineers Inc. [10.1109/WI-IAT62293.2024.00058]. Detail

Sokli, E., Kasela, P., Peikos, G., Pasi, G. (2024). Investigating Mixture of Experts in Dense Retrieval [Altro]. Detail