Marco Murgia

According to our database, Marco Murgia authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Comprehensive Evaluation of Fine-Tuned LLMs as AI-Generated Text Detectors Under Adversarial and Multi-Domain Conditions.

Marco Murgia, Diego Reforgiato Recupero, Georgios Spathoulas

IEEE Access, 2026

2025

Noise-Robust Speech Transcription with Quantized Language Model Correction for Industrial Settings.

Marco Murgia, Marco Fontana, Alberto Pes, Diego Reforgiato Recupero, Giuseppe Scarpi, Leonardo Daniele Scintilla

Proceedings of the 22nd International Conference on Informatics in Control, 2025

CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs.

Marco Murgia, Danilo Dessì, Francesco Osborne, Davide Buscaldi, Enrico Motta, Diego Reforgiato Recupero

Proceedings of the Semantic Web: ESWC 2025 Satellite Events, 2025

Evaluating Fine-Tuned LLMs for AI Text Detection.

Marco Murgia, Diego Reforgiato Recupero, Georgios Spathoulas

Proceedings of the Availability, Reliability and Security, 2025

2024

Leveraging transformers architectures and augmentation for efficient classification of fasteners and natural language searches.

Nino Cauli, Marco Murgia, Diego Reforgiato Recupero, Giuseppe Scarpi

Discov. Comput., December, 2024

Citation prediction by leveraging transformers and natural language processing heuristics.

Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero

Inf. Process. Manag., January, 2024

A Seamless ChatGPT Knowledge Plug-in for the Labour Market.

Rubén Alonso, Danilo Dessì, Antonello Meloni, Marco Murgia, Diego Reforgiato Recupero, Giuseppe Scarpi

IEEE Access, 2024

Automating Citation Placement with Natural Language Processing and Transformers.

Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero

Proceedings of the Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, 2024