most citedNative Design Bias: Studying the Impact of English Nativeness on Language Model Performance

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

LLM Consumer Behavior Theory: Foundations of a Novel Research Field

Manon Reusens, Sofie Goethals, David Martens

Large language models (LLMs) are increasingly deployed as autonomous agents that make consumption decisions on behalf of users. This shift raises fundamental questions for consumer…

cs.AI2026

Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices

Manon Reusens, Sofie Goethals, Toon Calders +1

As Large Language Models (LLMs) are increasingly deployed in applications such as travel assistance and purchasing support, they are often required to make subjective choices on be…

cs.CL20253 cited

Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance

Manon Reusens, Philipp Borchert, Jochen De Weerdt +1

Large Language Models (LLMs) excel at providing information acquired during pretraining on large-scale corpora and following instructions through user prompts. This study investiga…

cs.CL2025

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs

Manon Reusens, Bart Baesens, David Jurgens

Personalized Large Language Models (LLMs) are increasingly used in diverse applications, where they are assigned a specific persona - such as a happy high school teacher - to guide…

cs.AI2025

On the Performance of LLMs for Real Estate Appraisal

Margot Geerts, Manon Reusens, Bart Baesens +2

The real estate market is vital to global economies but suffers from significant information asymmetry. This study examines how Large Language Models (LLMs) can democratize access…