Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
If you’ve worked on NLP for low-resource languages — Yoruba, Quechua, Tigrinya, Hmong — you know the math is brutal. Native speakers with domain expertise are scarce. Their time is
Here’s a finding that genuinely surprised me when I sat with it. Shaoyang Xu and Wenxuan Zhang at the Singapore University of Technology and Design (arXiv:2601.11227, January 2026) showed that the language an LLM uses for its internal reasoning measurably changes the diversity of its English outputs — even when
