Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
Before you reach for RLHF, before you design a reward model, before you start thinking about reinforcement learning from verifiable rewards — there’s a more fundamental question worth asking: has
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
