People

Roberto Navigli

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Faculty
BabelNet LLMs Multilinguality Natural Language Understanding Semantics

Full professor and head of the Sapienza NLP Group, conducting research in multilingual Natural Language Understanding, including Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing in multiple languages. ACL Fellow and EurAI Fellow.

Lu Xu

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PhD Student
Bias Evaluation Hate Speech Detection LLMs Multilinguality

PhD student interested in multi-language NLP and biases hidden in large language models.

Luca Gioffrè

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PhD Student
Graph Representations & GNNs LLMs Natural Language Understanding & Generation XAI & Trustworthiness

PhD student interested in stories and how they can be understood by machines. Also a big fan of interpretable and ethical AI. Currently working on Semantic Text Representation, Summarization and QA.

Luca Moroni

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PhD Student
Knowledge Enhanced LLMs Large Language Models Training Data for LLMs

PhD student, understanding how Large Language Models works, trying to untangle the mysteries that lie behind their (apparent) abilities.

Bruno Gatti

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PhD Student
Coreference resolution Mulilinguality Natural Language Understanding Retrieval Augmented Generation Semantic Parsing

PhD student focused on semantic representation for multilingual natural language understanding, with a strong interest in exploring innovative NLP techniques like Retrieval-Augmented Generation (RAG).

Alberte Fernández Castro

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PhD Student
Cross-linguality Human Annotated Data LLM evaluation LLMs Paraphrasing

Linguist and lexicographer by training, currently pursuing a PhD in AI. My research focuses on the paraphrasing capabilities of LLMs in cross-lingual contexts, with an emphasis on enhancing this capability in downstream applications. I prioritize the use of human-annotated datasets and lexicographic resources to provide models with high-quality training data, aiming for more accurate and reliable results.

Francesco Ortame

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PhD Student
Concept-level Modeling LLMs Large Language Models Sentence Represenation

PhD student researching higher-level semantic representations and language modeling beyond next-token prediction.

Marina Iuliana Aur

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PhD Student
Evaluation & Interpretability LLMs Long-Context Modeling Multilinguality & Machine Translation Natural Language Understanding

PhD student interested in Natural Language Understanding and interpreting how language models work under the hood, with a focus on text quality evaluation and long-context modeling.

Elena Marafatto

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PhD Student
Human Annotated Data LLM Evaluation LLMs Natural Language Generation Safety

Linguist and PhD student in AI, studying how large language models process and generate language. My research focuses on their safety and reliability, especially how linguistic structure can be leveraged to make LLMs’ behavior more predictable and robust.

Raffaele Pisano

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PhD Student
concept-level Modeling LLMs language-robust LLMs reasoning LLMs

PhD student researching reasoning in Large Language Models, with a focus on making reasoning more faithful, efficient, and robust across languages. Current research explores fine-grained reinforcement learning, concept-level reasoning, and language-independent reasoning strategies.

Michele Ciletti

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PhD Student
SLMs multilinguality semantics word sense disambiguation

PhD student interested in semantics, with a primary focus on Word Sense Disambiguation and Semantic Role Labeling. I am working on building linguistically grounded, low-parameter language models for multilingual lexical and predicate-argument semantics. My research also explores multilingual transfer dynamics and downstream evaluation in tasks such as machine translation and diachronic semantic change.

Samuele De Santis Savoldelli

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PhD Student
LLMs computational lexicography lexical semantics semantic representation

Linguist and PhD student interested in lexical semantics, with a focus on building compositional representations of word senses and their applications to LLM performance and computational lexicography.

Alessandro Cecchetto

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PhD Student
LLMs XAI evaluation interpretability

PhD student focused on Large Language Models (LLMs) and rethinking the concept of interpretability. Rather than treating interpretability as a passive diagnostic tool, I explore novel ways to reshape and actively use it to understand, steer, and control model behavior.