

Antonela Tommasel
Assistant Professor
Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects
Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Investigating Carbon Footprint of Recommender Systems Beyond Training Time
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025
Fine-tuning for Inference-efficient Calibrated Recommendations
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025