Author

Jaehyeok Lee

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#machine learning Preprint Sep 2026

When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text

Large language models are increasingly used as judges to measure social bias in text, yet the passages they judge are often noisy, containing typos, informal spelling, and broken punctuation. The consequences of such surface noise for social bias measurement remain unclear. To investigate this question, we apply five r...

DongHyun Ryu, Jaehyeok Lee, Yeongjun Hwang et al. · 0 citations

#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