PEIKOS GEORGIOS

Sokli, E., Kasela, P., Peikos, G., Pasi, G. (In corso di stampa). Mixture of Experts Approaches in Dense Retrieval Tasks. In In Proceedings of the 2025 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025). Dettaglio

La Barbera, D., Milanese, G., Peikos, G., Pasi, G., Viviani, M. (2025). Beyond binary classification: ranking for information access in misinformation contexts. In Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025) (pp.1-7). CEUR-WS. Dettaglio

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]. Dettaglio

Sokli, E., Kasela, P., Peikos, G., Pasi, G. (2025). Investigating Mixture of Experts in Dense Retrieval. In Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025) (pp.101-107). CEUR-WS. Dettaglio

Sokli, E., Peikos, G., Kasela, P., Pasi, G. (2025). Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (pp.27083-27096). Association for Computational Linguistics [10.18653/v1/2025.emnlp-main.1377]. Dettaglio