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ORCIDChristina Lioma
- > Home > Persons > Christina Lioma
Publications
- 2025
[j17]Simone Borg Bruun
, Christina Lioma, Maria Maistro:
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. Trans. Recomm. Syst. 3(1): 2:1-2:24 (2025)- [j16]Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. Trans. Recomm. Syst. 3(2): 18:1-18:52 (2025) - [c83]Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Are Representation Disentanglement and Interpretability Linked in Recommendation Models? - A Critical Review and Reproducibility Study. ECIR (4) 2025: 31-47 - [c82]Simone Borg Bruun, Maria Maistro, Christina Lioma:
Feature Attribution Explanations of Session-Based Recommendations. ECIR (2) 2025: 55-71 - [c81]Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
As easy as PIE: understanding when pruning causes language models to disagree. NAACL (Findings) 2025: 6510-6536 - [c80]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. WWW 2025: 1548-1566 - [i66]Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study. CoRR abs/2501.18805 (2025) - [i65]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. CoRR abs/2502.11921 (2025) - [i64]Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
As easy as PIE: understanding when pruning causes language models to disagree. CoRR abs/2503.21714 (2025) - 2024
- [c78]Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. EMNLP (Findings) 2024: 14346-14360 - [c76]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. SIGIR 2024: 271-281 - [i60]Simone Borg Bruun, Christina Lioma, Maria Maistro:
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. CoRR abs/2403.00368 (2024) - [i59]Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma:
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. CoRR abs/2405.18276 (2024) - [i58]Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
From Internal Conflict to Contextual Adaptation of Language Models. CoRR abs/2407.17023 (2024) - [i56]Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein:
A Reality Check on Context Utilisation for Retrieval-Augmented Generation. CoRR abs/2412.17031 (2024) - 2023
- [c74]Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro:
Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. ECIR (1) 2023: 182-199 - [i55]Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro:
Graph-based Recommendation for Sparse and Heterogeneous User Interactions. CoRR abs/2301.11009 (2023) - [i52]Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma:
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. CoRR abs/2311.01013 (2023) - 2022
- [c70]Simone Borg Bruun, Maria Maistro, Christina Lioma:
Learning Recommendations from User Actions in the Item-poor Insurance Domain. RecSys 2022: 113-123 - [i49]Simone Borg Bruun, Maria Maistro, Christina Lioma:
Learning Recommendations from User Actions in the Item-poor Insurance Domain. CoRR abs/2211.15360 (2022) - [i48]Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. CoRR abs/2212.00492 (2022) - 2021
- [c69]Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. CIKM 2021: 1232-1242 - [c68]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-head Self-attention with Role-Guided Masks. ECIR (2) 2021: 432-439 - 2020
- [i37]Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma:
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. CoRR abs/2011.12684 (2020) - [i36]Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-Head Self-Attention with Role-Guided Masks. CoRR abs/2012.12366 (2020)
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