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相关论文: Probing Pre-Trained Language Models for Cross-Cult…

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Texts written in different languages reflect different culturally-dependent beliefs of their writers. Thus, we expect multilingual LMs (MLMs), that are jointly trained on a concatenation of text in multiple languages, to encode different…

计算与语言 · 计算机科学 2024-05-22 Rochelle Choenni , Anne Lauscher , Ekaterina Shutova

Large language models (LLMs) closely interact with humans, and thus need an intimate understanding of the cultural values of human society. In this paper, we explore how open-source LLMs make judgments on diverse categories of cultural…

计算与语言 · 计算机科学 2024-12-13 Minsang Kim , Seungjun Baek

Investigating value alignment in Large Language Models (LLMs) based on cultural context has become a critical area of research. However, similar biases have not been extensively explored in large vision-language models (VLMs). As the scale…

计算与语言 · 计算机科学 2025-02-24 Srishti Yadav , Zhi Zhang , Daniel Hershcovich , Ekaterina Shutova

Recent advancements in large language models (LLMs) have established them as powerful tools across numerous domains. However, persistent concerns about embedded biases, such as gender, racial, and cultural biases arising from their training…

计算与语言 · 计算机科学 2025-07-30 Hadi Mohammadi , Yasmeen F. S. S. Meijer , Efthymia Papadopoulou , Ayoub Bagheri

The intricate relationship between language and culture has long been a subject of exploration within the realm of linguistic anthropology. Large Language Models (LLMs), promoted as repositories of collective human knowledge, raise a…

计算与语言 · 计算机科学 2024-07-09 Badr AlKhamissi , Muhammad ElNokrashy , Mai AlKhamissi , Mona Diab

The rapid adoption of large vision-language models (LVLMs) in recent years has been accompanied by growing fairness concerns due to their propensity to reinforce harmful societal stereotypes. While significant attention has been paid to…

计算机视觉与模式识别 · 计算机科学 2026-04-14 Phillip Howard , Xin Su , Kathleen C. Fraser

Large Language Models (LLMs) are rapidly being adopted by users across the globe, who interact with them in a diverse range of languages. At the same time, there are well-documented imbalances in the training data and optimisation…

人工智能 · 计算机科学 2025-11-07 Bram Bulté , Ayla Rigouts Terryn

Pre-trained multilingual language models (PMLMs) are commonly used when dealing with data from multiple languages and cross-lingual transfer. However, PMLMs are trained on varying amounts of data for each language. In practice this means…

Value trade-offs are an integral part of human decision-making and language use, however, current tools for interpreting such dynamic and multi-faceted notions of values in language models are limited. In cognitive science, so-called…

计算与语言 · 计算机科学 2026-03-03 Sonia K. Murthy , Rosie Zhao , Jennifer Hu , Sham Kakade , Markus Wulfmeier , Peng Qian , Tomer Ullman

Improving the alignment of Large Language Models (LLMs) with respect to the cultural values that they encode has become an increasingly important topic. In this work, we study whether we can exploit existing knowledge about cultural values…

计算与语言 · 计算机科学 2025-09-09 Rochelle Choenni , Ekaterina Shutova

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 causing harm to others. In this paper, we present CLCA, a novel…

计算与语言 · 计算机科学 2025-04-07 Chen Cecilia Liu , Anna Korhonen , Iryna Gurevych

Large Language Models (LLMs) have shown strong performance across many tasks, but their ability to capture culturally diverse moral values remains unclear. In this paper, we examine whether LLMs mirror variations in moral attitudes reported…

计算与语言 · 计算机科学 2026-03-31 Hadi Mohammadi , Ayoub Bagheri

Large-scale Pre-Trained Language Models (PTLMs) capture knowledge from massive human-written data which contains latent societal biases and toxic contents. In this paper, we leverage the primary task of PTLMs, i.e., language modeling, and…

计算与语言 · 计算机科学 2023-01-24 Saghar Hosseini , Hamid Palangi , Ahmed Hassan Awadallah

Despite their global prevalence, many Large Language Models (LLMs) are aligned to a monolithic, often Western-centric set of values. This paper investigates the more challenging task of fine-grained value alignment: examining whether LLMs…

计算机与社会 · 计算机科学 2026-04-15 Bryan Chen Zhengyu Tan , Zhengyuan Liu , Xiaoyuan Yi , Jing Yao , Xing Xie , Nancy F. Chen , Roy Ka-Wei Lee

Large language models (LLMs) have become integral tool for users from various backgrounds. LLMs, trained on vast corpora, reflect the linguistic and cultural nuances embedded in their pre-training data. However, the values and perspectives…

计算与语言 · 计算机科学 2025-07-17 Songyuan Liu , Ziyang Zhang , Runze Yan , Wei Wu , Carl Yang , Jiaying Lu

Large language models (LLMs) have become increasingly pivotal in various domains due the recent advancements in their performance capabilities. However, concerns persist regarding biases in LLMs, including gender, racial, and cultural…

人工智能 · 计算机科学 2024-12-03 Mijntje Meijer , Hadi Mohammadi , Ayoub Bagheri

Gender bias in pretrained language models (PLMs) poses significant social and ethical challenges. Despite growing awareness, there is a lack of comprehensive investigation into how different models internally represent and propagate such…

计算与语言 · 计算机科学 2025-03-11 Mahdi Zakizadeh , Mohammad Taher Pilehvar

Moral values have deep roots in early civilizations, codified within norms and laws that regulated societal order and the common good. They play a crucial role in understanding the psychological basis of human behavior and cultural…

计算与语言 · 计算机科学 2025-04-07 Lorenzo Zangari , Candida M. Greco , Davide Picca , Andrea Tagarelli

Large Language Models (LLMs) have gained widespread global adoption, showcasing advanced linguistic capabilities across multiple of languages. There is a growing interest in academia to use these models to simulate and study human…

计算与语言 · 计算机科学 2024-08-06 Shiran Dudy , Ibrahim Said Ahmad , Ryoko Kitajima , Agata Lapedriza

Multilingual pretrained language models (MPLMs) exhibit multilinguality and are well suited for transfer across languages. Most MPLMs are trained in an unsupervised fashion and the relationship between their objective and multilinguality is…

计算与语言 · 计算机科学 2021-09-17 Sheng Liang , Philipp Dufter , Hinrich Schütze
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