1 citations · 1 across the 4 of their papers we have counts for
5 papers
Safety Kernel: Mechanistic Alignment for Cross-Lingual Defense in LLMs
Chengyu Xie, Fei Shen, Shuyi Miao +5
The safety capabilities of large language models (LLMs) are highly uneven across different languages, often allowing cross-lingual attacks to bypass safety guardrails. Existing ali…
Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili
Ruolei Zhang, Teddy Njuguna, Yue Feng
Large language models are increasingly deployed in multilingual contexts, yet safety alignment and bias evaluation remain overwhelmingly English-centric. We investigate whether soc…
CACHE-UK: A Stability-Aware Memory Editor for Sequentially Updated Quantized LLMs in Finance
Anubhav Lakra, Yue Feng
Large Language Models (LLMs) deployed in dynamic financial environments face a critical challenge: maintaining factual accuracy as market conditions, regulations, and corporate fac…
Social Bias in Multilingual Language Models: A Survey
Lance Calvin Lim Gamboa, Yue Feng, Mark Lee
Pretrained multilingual models exhibit the same social bias as models processing English texts. This systematic review analyzes emerging research that extends bias evaluation and m…
Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages
Lance Calvin Lim Gamboa, Yue Feng, Mark Lee
Emerging research on bias attribution and interpretability have revealed how tokens contribute to biased behavior in language models processing English texts. We build on this line…