Luca Moroni

Orcid: 0009-0006-1210-5098

According to our database1, Luca Moroni authored at least 12 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
INDAQA2 - A Large Italian Narrative QA Benchmark: A CALAMITA 2026 Challenge.
Proceedings of the 9th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026), 2026

2025
ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering.
CoRR, October, 2025

In the eyes of a language model: A comprehensive examination through eye-tracking data.
Neurocomputing, 2025

Deep learning framework for cardiorespiratory disease detection using smartphone IMU sensors.
Comput. Biol. Medicine, 2025

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Sustainable Italian LLM Evaluation: Community Perspectives and Methodological Guidelines.
Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), 2025

What We Learned from Continually Training Minerva: A Case Study on Italian.
Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), 2025

Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions.
CoRR, 2024

Minerva LLMs: The First Family of Large Language Models Trained from Scratch on Italian Data.
Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), 2024

Towards a More Comprehensive Evaluation for Italian LLMs.
Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), 2024


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