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cs.CL2025
Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family
Yumeng Lin, Xufeng Duan, David Haslett +2
Large language models have achieved impressive progress in multilingual translation, yet they continue to face challenges with certain language pairs-particularly those with limite…
cs.CL2025
How Syntax Specialization Emerges in Language Models
Xufeng Duan, Zhaoqian Yao, Yunhao Zhang +2
Large language models (LLMs) have been found to develop surprising internal specializations: Individual neurons, attention heads, and circuits become selectively sensitive to synta…
cs.CL2025
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
Hanlin Wu, Xufeng Duan, Zhenguang Cai
Voice-based AI development faces unique challenges in processing both linguistic and paralinguistic information. This study compares how large audio-language models (LALMs) and hum…