Shaoyang Xu

Output diversity is crucial for Large Language Models as it underpins pluralism and creativity.In this work, we reveal that controlling the language used during model thinking—the language of thought —provides a novel and structural source of output diversity.Our preliminary study shows that diff...

Large language models (LLMs)-based multi-agent systems have recently shown strong potential for machine translation (MT). However, their application to multi-domain translation (MDT) remains under-explored, particularly in addressing cross-domain word ambiguity. To investigate whether multi-agent...