Culturally aware and adapted nlp: A taxonomy and a survey of the state of the art

CC Liu, I Gurevych, A Korhonen - arxiv preprint arxiv:2406.03930, 2024 - arxiv.org
The surge of interest in culturally aware and adapted Natural Language Processing (NLP)
has inspired much recent research. However, the lack of common understanding of the …

Resilience of large language models for noisy instructions

B Wang, C Wei, Z Liu, G Lin, NF Chen - arxiv preprint arxiv:2404.09754, 2024 - arxiv.org
As the rapidly advancing domain of natural language processing (NLP), large language
models (LLMs) have emerged as powerful tools for interpreting human commands and …

Survey of cultural awareness in language models: Text and beyond

S Pawar, J Park, J **, A Arora, J Myung… - arxiv preprint arxiv …, 2024 - arxiv.org
Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …

Culture is Not Trivia: Sociocultural Theory for Cultural NLP

N Zhou, D Bamman, IL Bleaman - arxiv preprint arxiv:2502.12057, 2025 - arxiv.org
The field of cultural NLP has recently experienced rapid growth, driven by a pressing need
to ensure that language technologies are effective and safe across a pluralistic user base …

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning

G Li, K Chen, S Guo, J Zhang, H Qiu, C Zhang… - arxiv preprint arxiv …, 2025 - arxiv.org
Large language models (LLMs) have emerged as powerful tools for addressing a wide
range of general inquiries and tasks. Despite this, fine-tuning aligned LLMs on smaller …