Mapping Meaning in Latin with Large Language Models

Our PhD student Andrea Farina will present his latest research at CLiC-it 2025: Eleventh Italian Conference on Computational Linguistics. The paper "Mapping Meaning in Latin with Large Language Models", co-authored with me and Barbara McGillivray, focuses on preverbed motion verbs (like exeo “exit” or ineo “enter”) and spatial relations, important linguistic features that encode movement, … Continue reading Mapping Meaning in Latin with Large Language Models

From notes to models: Leveraging LLMs for museum closure data

Our postdoc George A. Wright will present our latest research at the International Conference on Theory and Practice of Digital Libraries (TPDL 2025). In the paper “From Notes to Models: Leveraging LLMs for Museum Closure Data”, we explore how large language models (LLMs) can support researchers in transforming unstructured notes into usable data models. This … Continue reading From notes to models: Leveraging LLMs for museum closure data

Thinking with machines: Some reflections on LLMs in academia

As somebody who studied computer science in the early 2000s, I find large language models (LLMs) like GPT and Claude an extraordinary, science-fiction-like technology. While sharing many concerns with sceptics like Gary Marcus, I believe LLMs are so disruptive because they truly are amazingly good at understanding natural language and performing countless tasks that used … Continue reading Thinking with machines: Some reflections on LLMs in academia