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cs.CL2024
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens
Weiyao Luo, Suncong Zheng, Heming Xia +5
Large language models (LLMs) have shown promising efficacy across various tasks, becoming powerful tools in numerous aspects of human life. However, Transformer-based LLMs suffer a…
cs.CL2024★ 4 cited
Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
Shucheng Zhu, Weikang Wang, Ying Liu
While nationality is a pivotal demographic element that enhances the performance of language models, it has received far less scrutiny regarding inherent biases. This study investi…