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20232026
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cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241

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.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.CL2024

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.CL2023

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA

Jonathan Tonglet, Manon Reusens, Philipp Borchert +1

Question answering over hybrid contexts is a complex task, which requires the combination of information extracted from unstructured texts and structured tables in various ways. Re…

cs.CL2023

Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques

Manon Reusens, Philipp Borchert, Margot Mieskes +2

This paper investigates the transferability of debiasing techniques across different languages within multilingual models. We examine the applicability of these techniques in Engli…