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Manon Reusens

9 papers hereh-index 5105 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author3

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.AI3
  • cs.CY1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedNative Design Bias: Studying the Impact of English Nativeness on Language Model Performance

3 citations · 5 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CY2026

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…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.