Agnese Lombardi
Agnese Lombardi /aɲˈɲe.ze/ as in gnocchi

PostDoc in Computational Neuro-Psycholinguistics

About Me

I am currently a PostDoc researcher at IUSS Pavia and a member of the NepLab (PI: Valentina Bambini).

I completed my PhD at the Department of Philology, Literature, and Linguistics at the University of Pisa, where I was also a member of the CoLing Lab. My doctoral research was supervised by Alessandro Lenci.

During my PhD, I was a visiting researcher at the University of Texas at Austin, working under the supervision of Kyle Mahowald.

I earned my BA in Modern Literature (2018) and MA in Linguistics (2021) from the University of Pisa. After graduating, I moved to Naples to work as a mobile application developer, but later left to pursue my PhD (2022).

I enjoy reading, playing football, traveling and cooking—but above all, I love pizza! Proudly from Campania (South of Italy) and even prouder to be a dialect speaker.

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Interests
  • Computational Linguistics
  • Psycholinguistics and Neurolinguistics
  • Artificial Intelligence
Education
  • PhD Computational Psycholinguistics

    University of Pisa

  • MA in Linguistics

    University of Pisa

  • BSc in Humanities

    University of Pisa

📚 My Research

My primary research focus lies in computational psycholinguistics, with a strong theoretical foundation in semantics and pragmatics. From a computational perspective, I investigate Theory of Mind (ToM)-like abilities in large language models (LLMs), while also exploring other aspects of pragmatic competence.

I am deeply engaged in the ongoing debate on cognitive and emerging abilities in LLMs, advocating for the integration of cognitive science, psycholinguistics, and computational linguistics to advance all three fields. I believe that insights from cognitive science and psycholinguistics can help develop more fine-grained computational analyses of language models.

My broader interests include language processing theories, neural alignment, grounding, experimental pragmatics, mechanistic interpretability, and LLM interpretability.

Publications
(2026). Conversational Implicatures Through the Lens of LLMs. Accepted.
(2026). LLMs and people both learn to form conventions – just not with each other.
(2026). ToM in LLM is not ToM, but a Pragmatic Effect.
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