Author

K. Lee

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#natural language process... Oct 2025

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages

Camellia is introduced, a benchmark for evaluating entity-centric cultural biases in nine Asian languages, spanning six Asian cultures, and it is found that LLMs can struggle with context understanding in some Asian languages, creating performance gaps between cultures in entity extraction.

Tarek Naous, Anagha Savit, Carlos Rafael Catalan et al. · arXiv.org · 2 citations · ⚡1

#natural language process... Preprint Aug 2026

CoCoA: Context-Conditional Cultural Alignment for Large Language Models

It is highlighted that effective cultural alignment requires context-conditional modeling rather than uniform debiasing, and a new direction for mitigating entity-centric cultural bias in LLMs is established.

K. Lee, Wei Xu, Alan Ritter et al. · 0 citations