1 citations · 2 across the 6 of their papers we have counts for
7 papers
A Global View of How LLMs Value Human Time
Yifan He, Sofie Goethals, Manon Reusens +1
Large language models (LLMs) increasingly act as personal assistants; however, little is known about how they capture national-level preferences on a global scale. Given that "time…
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…
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…
On the Definition and Detection of Cherry-Picking in Counterfactual Explanations
James Hinns, Sofie Goethals, Stephan Van der Veeken +2
Counterfactual explanations are widely used to communicate how inputs must change for a model to alter its prediction. For a single instance, many valid counterfactuals can exist,…
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Galit Shmueli, David Martens, Jaewon Yoo +1
Counterfactuals play a pivotal role in the two distinct data science fields of causal inference (CI) and explainable artificial intelligence (XAI). While the core idea behind count…
Beware of "Explanations" of AI
David Martens, Galit Shmueli, Theodoros Evgeniou +14
Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…
The Impact of Cloaking Digital Footprints on User Privacy and Personalization
Sofie Goethals, Sandra Matz, Foster Provost +2
Our online lives generate a wealth of behavioral records -'digital footprints'- which are stored and leveraged by technology platforms. This data can be used to create value for us…