5 papers
Post-training makes large language models less human-like
Marcel Binz, Elif Akata, Abdullah Almaatouq +76
Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, w…
ChatGPT-generated texts show authorship traits that identify them as non-human
Vittoria Dentella, Weihang Huang, Silvia Angela Mansi +2
Large Language Models can emulate different writing styles, ranging from composing poetry that appears indistinguishable from that of famous poets to using slang that can convince…
Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference
Vittoria Dentella, Fritz Guenther, Evelina Leivada
Understanding the limits of language is a prerequisite for Large Language Models (LLMs) to act as theories of natural language. LLM performance in some language tasks presents both…
Fundamental Principles of Linguistic Structure are Not Represented by o3
Elliot Murphy, Evelina Leivada, Vittoria Dentella +2
A core component of a successful artificial general intelligence would be the rapid creation and manipulation of grounded compositional abstractions and the demonstration of expert…
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
Vittoria Dentella, Fritz Guenther, Elliot Murphy +2
Large Language Models (LLMs) are recruited in applications that span from clinical assistance and legal support to question answering and education. Their success in specialized ta…