5 citations · 5 across the 8 of their papers we have counts for
9 papers
The Reliance Hypothesis: Chain-of-Thought Faithfulness Rises as Language Resource Level Falls
Lucas Resck, Jingyi Sun, Qianli Wang +2
Chain-of-Thought (CoT) faithfulness matters for monitoring, explaining and safely deploying large language models, yet it has been studied mostly in English. Languages differ in le…
Lower-Resource, Higher Scores: Language Bias in LLM Evaluators
Ej Zhou, Lucas Resck, Zheng Hui +1
LLM evaluators (trained reward models and prompted LLM-as-a-Judge) are routinely validated via pairwise accuracy. In a multilingual setting, this operates under the premise that hi…
Personality Without Persons? A Psychometric Critique of Big Five Testing in Large Language Models
Kim Zierahn, Cristina Cachero, Anna Korhonen +1
Human personality inventories are increasingly used to characterize large language models (LLMs), compare systems, and inform downstream governance claims. Yet, these inventories w…
Building Community-Centred NLP Resources for Puno Quechua
Elwin Huaman, Adrian Gamarra Lafuente, Johanna Cordova +1
The preservation of under-resourced languages requires digital tools and resources shaped by and for their speakers. We present the first dedicated ASR resources for Puno Quechua (…
Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
Lucas Resck, Isabelle Augenstein, Anna Korhonen
Multilingual large language models (MLLMs) often answer culturally ambiguous questions inconsistently across languages, even for a fixed user persona -- e.g., Shakespeare in Englis…
Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization
Beiduo Chen, Pingjun Hong, Ziyun Zhang +3
Free-text explanations extend human label variation (HLV) beyond label disagreement by revealing the reasoning and preferences behind annotators' decisions. We study whether large…
LLMs Aren't Human: A Critical Perspective on LLM Personality
Kim Zierahn, Cristina Cachero, Anna Korhonen +1
A growing body of research examines personality traits in Large Language Models (LLMs), particularly in human-agent collaboration. Prior work has frequently applied the Big Five in…
Cultural Learning-Based Culture Adaptation of Language Models
Chen Cecilia Liu, Anna Korhonen, Iryna Gurevych
Adapting large language models (LLMs) to diverse cultural values is a challenging task, as existing LLMs often reflect the values of specific groups by default, and potentially cau…
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art
Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen
The surge of interest in "culture" in NLP has inspired much recent research, but a shared understanding of "culture" remains unclear, making it difficult to evaluate progress in th…