This study systematically investigates the challenges posed by culturally loaded translation in LLM-based MT systems, and constructs a Chinese-Japanese bilingual dataset from the culturally representative corpus Dream of the Red Chamber, containing 500 segments across diverse cultural categories.
Regional bias in large language models (LLMs) may shape both perceptions of regional groups and decisions about individuals from different regions. Yet existing studies often examine these manifestations separately, leaving their structure and consequences unclear. We introduce Stereotypes-to-Decisions (S2D), a systema...
Jia-Yuan Di, Haoyi Yang, Yu-Fei Luo et al.· arXiv.org· 0 citations
A moderated serial mediation model in which AI tool use predicts willingness to communicate sequentially through AI self-efficacy and foreign language enjoyment (FLE) is proposed and tested, with foreign language anxiety (FLA) moderating the FLE-to-WTC link.