Publications by ELLIS Alicante

2025

07/31
Vienna, AT
Favero, L. A., Frases, D., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025). ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection. 12th Workshop on Argument Mining, co-located with ACL 2025.
07/31
Vienna, AT
Baidal, M., Derner, E., & Oliver, N. (2025). Guardians of Trust: Risks and Opportunities for LLMs in Mental Health. 4th Workshop on NLP for Positive Impact, ACL 2025.
07/18
Vancouver, CA
Schweighofer, K., Arnaiz-Rodríguez, A., Hochreiter, S., & Oliver, N. (2025). The Disparate Benefits of Deep Ensembles. ICML'25: International Conference on Machine Learning.
07/17
Vancouver, CA
Doh, M., Höltgen, B., Riccio, P., & Oliver, N. (2025). Position: The Categorization of Race in ML is a Flawed Premise. ICML'25: International Conference on Machine Learning.
Poster Spotlight
06/30
Eindhoven, NL
Doh, M., Gulati, A., Mancas, M., & Oliver, N. (2025). When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces. European Workshop on Algorithmic Fairness.
06/23
Athens, GR
Doh, M., Canali, C., & Oliver, N. (2025). What TikTok Claims, what Bold Glamour Does: a Filter´s Paradox. ACM Conference on Fairness, Accountability and Transparency, FAccT 2025.
06/03
Copenhagen, DK
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2025). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. International AAAI Conference on Web and Social Media (ICWSM).
04/27
Yokohama, JP
Doh, M., Canali, C., & Oliver, N. (2025). Filters of Identity}: AR Beauty and the Algorithmic Politics of the Digital Body. CHI'25: International Conference on Human-computer Interaction. Workshop on Body Politics: Unpacking Tensions and Future Perspectives for Body-Centric Design Research in HCI.
04/16
Gulati, A., D'Incà, M., Sebe, N., Lepri, B., & Oliver, N. (2025). Uncovering an Attractiveness Bias in Multimodal Large Language Models: A Case Study with LLaVA. arXiv preprint arXiv:2504.16104.
04/15
Németh, G. D., Fanì, E., Ng, Y. J., Caputo, B., Lozano, M. A., Oliver, N., & Quadrianto, N. (2025). Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. arXiv:2504.11216.
03/27
Lepri, B., Oliver, N., & Pentland, S. (2025). Reinventing the Social Contractin an Age of Big Data. Human Development and the Data Revolution, 1, 136-145.
03/27
Oliver, N. (2025). Big Mobile Data for Social Good: Opportunities and Challenges. Human Development and the Data Revolution, 1, 51-71.
03/25
Riccio, P., Galati, F., Schweighofer, K., Garcia, N., & Oliver, N. (2025). ImageSet2Text: Describing Sets of Images through Text. arXiv preprint arXiv:2503.19361.
03/03
Philadelphia, US
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025). Argument Mining in Education: Exploring the Potential of Open-source Small LLMs for Argument Classification and Assessment. AAAI2025 AI for Education - Tools, Opportunities, and Risks in the Generative AI Era.
02/27
Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2025). Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. IEEE Access, 13, 40258-40274.
02/25
Philadelphia, US
Doh, M., Gulati, A., & Oliver, N. (2025). Attractive by Design: How The Attractiveness Halo Effect Shapes AI Perception. Collaborative AI and modeling of Humans (CAIHu) - Bridge program at AAAI 2025.
02/25
Philadelphia, US
Derner, E., Sansalvador de la Fuente, S., Gutiérrez, Y., Moreda, P., & Oliver, N. (2025). Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora. Collaborative AI and modeling of Humans (CAIHu) - Bridge program at AAAI 2025.
02/20
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025). Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment. arXiv:2502.14389.

2024

12/19
Arnaiz-Rodríguez, A., & Losada-Carreño, J. (2024). Studying Causality in Algorithmic Decision Making: the Impact of IA in the Business Environment. Revista Internacional y Comparada de RELACIONES LABORALES Y DERECHO DEL EMPLEO.
11/27
Gulati, A., Martinez-Garcia, M., Fernandez, D., Lozano, MA., Lepri, B., & Oliver, N. (2024). What is beautiful is still good: the attractiveness halo effect in the era of beauty filters. Royal Society Open Science, 11(11).
Top 5% of research outputs scored by Altmetric
11/06
Colin, J., Goetschalckx, L., Fel, T., Boutin, V., Gopal, J., Serre, T, & Oliver, N. (2024). Local vs distributed representations: What is the right basis for interpretability?. arXiv:2411.03993.
11/01
Arnaiz-Rodríguez, A., & Losada-Carreño, J. (2024). Intersection of reliable AI with Labor Law. A legal and technical study from a tripartite taxonomy. Revista General de Derecho del Trabajo y de la Seguridad Social.
10/19
Santiago de Compostela, ES
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024). Enhancing Critical Thinking in Education by means of a Socratic Chatbot. International Workshop on AI in Education and Educational Research, ECAI 2024 workshop.
09/29
Milan, IT
Riccio, P., Curto, G., & Oliver, N. (2024). Exploring the Boundaries of Content Moderation in Text-to-Image Generation. Critical evaluation of generative models and their impact on society (CEGIS) workshop at ECCV.
09/29
Milan, IT
Riccio, P., Curto, G., Hofmann, T., & Oliver, N. (2024). An Art-centric perspective on AI-based content moderation of nudity. Artificial Intelligence for Visual Arts (AI4VA) workshop at ECCV.
09/29
Milan, IT
Gulati, A., Lepri, B., & Oliver, N. (2024). Lookism: The overlooked bias in computer vision. Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing (FAILED) - Workshop at ECCV 2024.
08/26
Derner, E., Batistič, K., Zahálka, J., & Babuška, R. (2024). A Security Risk Taxonomy for Prompt-Based Interaction with Large Language Models. IEEE Access, 12, 126176-126187.
07/23
Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2024). Can ChatGPT Read Who You Are?. Computers in Human Behavior: Artificial Humans, 2(2), 100088.
07/18
Gulati, A., Martinez-Garcia, M., Fernandez, D., Lozano, MA., Lepri, B., & Oliver, N. (2024). What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. International Conference on Computational Social Science; International Conference on Thinking.
06/19
Derner, E., Sansalvador de la Fuente, S., Gutiérrez, Y., Moreda, P., & Oliver, N. (2024). Leveraging Large Language Models to Measure Gender Bias in Gendered Languages. arXiv:2406.13677.
05/11
Riccio, P., Hofmann, T., & Oliver, N. (2024). Exposed or Erased: Algorithmic Censorship of Nudity in Art. CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-17.
04/19
Riccio, P., Colin, J., Ogolla, S., & Oliver, N. (2024). Mirror, Mirror on the wall, who is the whitest of all? Racial biases in social media beauty filters. Social Media and Society, 10(2), 20563051241239295.
03/31
Riccio, P., & Oliver, N. (2024). A Techno-Feminist Perspective on the Algorithmic Censorship of Artistic Nudity. Bibliotheca Hertziana–Max Planck Institute for Art History, 3.
03/07
Bolt, K., Gil-González, D., & Oliver, N. (2024). Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic. Frontiers of Public health, 12, 1350743.
03/06
Singapore, Singapore
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2024). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. WWW 2024 Workshop on Trustworthy Learning on Graphs (TrustLOG).
03/06
Vienna, Austria
Arnaiz-Rodríguez, A., & Oliver, N. (2024). Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values. ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR).
02/21
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024). Towards Student-Centric AI-Supported Learning: Teaching Chatbots to Ask the Right Questions. Collaborative AI and Modeling of Humans, AAAI Bridge Program.
02/21
Vancouver, CA
Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2024). Can ChatGPT Read Who You Are?. Collaborative AI and Modeling of Humans, AAAI Bridge Program.

2023

12/26
Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2023). Can ChatGPT Read Who You Are?. arXiv:2312.16070.
12/15
Fel, T., Boissin, T., Boutin, V., Picard, A., Novello, P., Colin, J., Linsley, D., Rousseau, T., Cadène, R., Gardes, L., & Serre, T. (2023). Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. 37th Conference on Neural Information Processing Systems (NeurIPS), 36, 37813-37826.
12/01
Begga, A., Garibo I Orts, O., De Maria Garcia, S., Escolano, F., Lozano, M.A., Oliver, N., & Conejero, J.A. (2023). Predicting COVID19 pandemic waves including vaccination data with deep learning. Frontiers of Public health, 11, 1279364.
11/29
Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2023). Addressing Membership Inference Attack in Federated Learning with Model Compression. arXiv preprint:2311.17750.
11/19
Derner, E., Batistič, K., Zahálka, J., & Babuška, R. (2023). A Security Risk Taxonomy for Large Language Models. arXiv preprint arXiv:2311.11415.
07/09
Gulati, A., Martinez-Garcia, M., Lozano, M. A., Lepri, B., & Oliver, N. (2023). The Beauty Survey - Study Registration. .
07/03
Boutin, V., Fel, T., Singhal, L., Mukherji, R., Nagaraj, A., Colin, J., & Serre, T. (2023). Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?. Proceedings of the International Conference on Machine Learning (ICML), 2953-3002.
06/20
Fel, T., Picard, A., Bethune, L., Boissin, T., Vigouroux, D., Colin, J., Cadène, R., & Serre, T. (2023). CRAFT: Concept Recursive Activation FacTorization for Explainability. Conference on Computer Vision and Pattern Recognition (CVPR), 2711-2721.
05/05
Curto, G., Arnaiz-Rodríguez, A., & Oliver, N. (2023). Algorithms for Social Justice: Affirmative Action in Social Networks. arXiv:2305.03223.
03/03
Arnaiz-Rodríguez, A., Escolano, F., & Oliver, N. (2023). FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. arXiv:2303.01928.
03/01
Letouzé, E., Oliver, N., Lepri, B., & Vinck, P. (2023). AI FOR THE SDGS—AND BEYOND? TOWARDS A HUMAN AI CULTURE FOR DEVELOPMENT AND DEMOCRACY. Missing Links in AI Governance by UNESCO and MILA, 162-189.
02/22
Oliver, N. (2023). A Philosopher's Daughter Navigates a Career in AI. Communications of the ACM, 13-13.
02/18
Riccio, P., & Oliver, N. (2023). Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters. European Conference on Computer Vision 2022, 13803, 714-721.

2022

12/21
Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2022). A Snapshot of the Frontiers of Client Selection in Federated Learning. Transactions on Machine Learning Research.
12/21
Arnaiz-Rodríguez, A., Begga, A., Escolano, F., & Oliver, N. (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. Proceedings of the First Learning on Graphs Conference, PMLR, 198, 15:1-15:27.
11/29
Zerroug, A., Vaishnav, M., Colin, J., Musslick, S., & Serre, T. (2022). A Benchmark for Compositional Visual Reasoning. 36th Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, 35, 29776-29788.
11/29
Colin, J., Fel, T., Cadène, R., & Serre, T. (2022). What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. 36th Conference on Neural Information Processing Systems (NeurIPS).
11/01
Fuente, D., Hervás, D., Rebollo, M., Conejero, J.A., & Oliver, N. (2022). COVID-19 outbreaks analysis in the Valencian Region of Spain in the prelude of the third wave. Frontiers of Public Health, 10.
09/27
Gulati, A., Lozano, M. A., Lepri, B., & Oliver, N. (2022). BIASeD: Bringing Irrationality into Automated System Design. Thinking Fast and Slow and Other Cognitive Theories in AI, AAAI Fall Symposium 2022.
07/22
Martínez-García, M., Sansano-Sansano, E., Castillo-Hornero, A., Femenia, R., Roomp, K., & Oliver, N. (2022). Social Isolation during the COVID-19 Pandemic in Spain: A Population Study. Nature Scientific Reports, 12(1), 1-15.
Top 8% of research outputs scored by Altmetric
07/22
Lozano, M.A., Garibo, O., Piñol, E., Rebollo, M., Polotskaya, K., Garcia-March, M. A., Conejero, J. A., Escolano, F., & Oliver, N. (2022). Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. International Joint Conference on Artificial Intelligence Organization (IJCAI), 5304-5308.
Best paper award track from sister conferences
07/19
Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., & Oliver, N. (2022). OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. 36th Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track.
07/15
Conejero, A. J., & Oliver, N. (2022). La iniciativa Valencia IA4COVID. Indice: Revista de Estadística y Sociedad, 1(86), 33-35.
07/04
Oliver, N. (2022). SRIP Report 2022. SRIP Report of the European Commission, 664-707.
06/27
Riccio, P., Oliver, J. L., Escolano, F., & Oliver, N. (2022). Algorithmic Censorship of Art: A Proposed Research Agenda. 13th International Conference on Computational Creativity.
06/09
Fel, T., Hervier, L., Vigouroux, D., Poche, A., Plakoo, J., Cadène, R., Chalvidal, M., Colin, J., Boissin, T., Bethune, L., Picard, A., Nicodeme, C., Gardes, L., Flandin, G., & Serre, T. (2022). Xplique: A Deep Learning Explainability Toolbox. Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Explainable Artificial Intelligence for Computer Vision (XAI4CV).
04/22
Cauchard, J., Jarke, M., & Oliver, N. (2022). Communications of the ACM Europe Special Section. Communications of the ACM, 65(4), 32-34.
04/15
Riccio, P., Galati, F., Zuluaga, M. A., De Martin, J. C., & Nichele, S. (2022). Translating Emotions from EEG to Visual Arts. International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), 243-258.
03/22
Alt, F., Kostakos, V., & Oliver, N. (2022). Out-of-the-Lab Pervasive Computing. IEEE Pervasive Computing Journal, 21(1), 7-8.
01/31
Olivares Gil, A., Arnaiz Rodríguez, A., Ramírez Sanz, J. M., Garrido Labrador, J. L., Ahedo García, V., García Osorio, C., Santos Martín, J. I., & Galán Ordax, J. M. (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering, 10(1), 65-76.
01/20
De Nadai, M., Roomp, K., Lepri, B., & Oliver, N. (2022). The Impact of Control and Mitigation Strategies during the Second Wave of coronavirus Infections in Spain and Italy. Nature Scientific Reports, 12(1), 1-13.

2021

12/06
Xue, H., Salim, F. D., Ren, Y., & Oliver, N. (2021). MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. Advances in Neural Information Processing Systems, 34, 30380-30391.
09/20
Martinez-Garcia, M., Rabasa, A., Barber, X., Polotskaya, K., Roomp, K., & Oliver, N. (2021). Key factors affecting people’s unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study. Nature Scientific Reports, 11, 1-18.
In the top 6% of all research outputs scored by Altmetric
09/17
Lozano, M.A., Garibo, O., Piñol, E., Rebollo, M., Polotskaya, K., Garcia-March, M. A., Conejero, J. A., Escolano, F., & Oliver, N. (2021). Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 384-399.
Best paper award!
09/16
Riccio, P., Bergaust, K., Christensen-Scheel, B., De Martin, J. C., Zuluaga, M. A., & Nichele, S. (2021). AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. Politics of the Machines.
05/31
Luca, M., Barlacchi, G., Oliver, N., & Lepri, B. (2021). Leveraging Mobile Phone Data for Migration Flows. arXiv preprint arXiv:2105.14956.
03/19
Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. iScience, 24(3), 102249.
02/02
Nanni, M., Andrienko, G., Barabási, A. L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. M., Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., Van Den Hoven, J., & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. iScience, 23(1), 1-6.
In the top 4% of all research outputs scored by Altmetric

2020

09/10
Oliver, N., Barber, X., Roomp, K., & Roomp, K. (2020). Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey. Journal of Medical Internet Research, 22(9), e21319.
In the top 5% of all research outputs scored by Altmetric
06/01
Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N, Pivetta, F., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulstand, S., & Vinck, P. (2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances, 6(23), eabc0764.
In the top 5% of all research outputs scored by Altmetric
04/16
Roomp, K., & Oliver, N. (2020). ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing. arXiv preprint arXiv:2004.07463.
03/27
Oliver, N., Letouzé, E., Sterly, H., Delataille, S., De Nadai, M., Lepri, B., Lambiotte, R., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N., Pivetta, F., Salah, A. A., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulst, S., & Vinck, P. (2020). Mobile phone data and COVID-19: Missing an opportunity?. arXiv preprint arXiv:2003.12347.