3 papers
cs.CL2026
Multiple-Debias: A Full-process Debiasing Method for Multilingual Pre-trained Language Models
Haoyu Liang, Peijian Zeng, Wentao Huang +2
Multilingual Pre-trained Language Models (MPLMs) have become essential tools for natural language processing. However, they often exhibit biases related to sensitive attributes suc…
cs.CL2025
Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB
Xingyu Ren, Youran Sun, Haoyu Liang
We find that current sentence-embedding models produce outputs with a consistent bias: every embedding decomposes as , where the mean is near-identical across…
cs.CL2025
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
Haoyu Liang, Youran Sun, Yunfeng Cai +2
The security issue of large language models (LLMs) has gained wide attention recently, with various defense mechanisms developed to prevent harmful output, among which safeguards b…