Shahed Masoudian

Cognitive Effects and Biases in Large Language Models

Markus Schedl, Ralph Hertwig, Antonela Tommasel, Shahed Masoudian

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics

Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation

Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl

Proceedings of the Nineteenth ACM Conference on Recommender Systems

Mitigating Gender Bias in Job Ranking Systems Using Job Advertisement Neutrality

Deepak Kumar, Shahed Masoudian, Alessandro B. Melchiorre, Markus Schedl

Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI)

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters

Shahed Masoudian, Volaucnik Cornelia, Markus Schedl, Navid Rekab-saz

The 18th Conference of the European Chapter of the Association for Computational Linguistics March 17-22, 2024

Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems

Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl

Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)

Award · Best Student Paper Award

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale

Markus Frohman, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekab-saz

Findings of the Association for Computational Linguistics ACL 2024

The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily

Markus Schedl, Oleg Lesota, Shahed Masoudian

Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024)

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization

Shahed Masoudian, Frohmann Markus, Navid Rekab-saz, Markus Schedl

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Domain Information Control at Inference Time for Acoustic Scene Classification

Shahed Masoudian, Koutini Khaled, Markus Schedl, Widmer Gerhard, Navid Rekab-saz

31st European Signal Processing Conference, (EUSIPCO) 2023, Helsinki,Finland, September 4-8, 2023

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks

Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekab-saz

Findings of the Association for Computational Linguistics: ACL 2023