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To enhance language models' cultural awareness, we design a generalizable pipeline to construct cultural knowledge bases from different online communities on a massive scale.
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Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
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X-FACTR: Multilingual factual knowledge retrieval from pretrained language models
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, and Graham Neubig · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Dialogue-based simulation for cultural awareness training, 2021
Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, and Donald E. Brown · 2021
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The importance of modeling social factors of language: Theory and practice
Dirk Hovy and Diyi Yang · 2021
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Visually grounded reasoning across languages and cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, and Desmond Elliott · 2021
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Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-Aimée Kaffee, and Isabelle Augenstein · 2022
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Stereokg: Data-driven knowledge graph construction for cultural knowledge and stereotypes
Awantee Deshpande, Dana Ruiter, Marius Mosbach, and Dietrich Klakow · 2022
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Do multilingual language models capture differing moral norms?, 2022
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindřich Libovický, Alexander Fraser, and Kristian Kersting · 2022
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Geomlama: Geo-diverse commonsense probing on multilingual pre-trained language models
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, and Kai-Wei Chang · 2022
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Knowledge of cultural moral norms in large language models, 2023
Aida Ramezani and Yang Xu · 2023
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Gpt4geo: How a language model sees the world’s geography
Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, and Samuel Albanie · 2023
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Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto · 2023
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Llama 2: Open foundation and fine-tuned chat models
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Not all countries celebrate thanksgiving: On the cultural dominance in large language models, 2023
Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen tse Huang, Zhaopeng Tu, and Michael R. Lyu · 2023
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, and Daniel Hershcovich · 2023
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Recommender systems in the era of large language models (llms)
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Jing Huang and Diyi Yang · 2023
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Jiho Jin, Jiseon Kim, Nayeon Lee, Haneul Yoo, Alice Oh, and Hwaran Lee · 2023
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Language-agnostic bias detection in language models with bias probing, 2023
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Crehate: Cross-cultural re-annotation of english hate speech dataset
Nayeon Lee, Chani Jung, Junho Myung, Jiho Jin, Juho Kim, and Alice Oh · 2023
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Prompt distillation for efficient llm-based recommendation
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Empowering llm-based machine translation with cultural awareness, 2023
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NormBank: A knowledge bank of situational social norms
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Can llm generate culturally relevant commonsense qa data? case study in indonesian and sundanese
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Massively multi-cultural knowledge acquisition and lm benchmarking
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Direct preference optimization: Your language model is secretly a reward model
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Unintended impacts of llm alignment on global representation
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