Records found: 4
Microsoft and Tsinghua researchers propose Reward Reasoning Models that adaptively allocate compute resources during evaluation, significantly improving large language model judgment and alignment across complex tasks.
Tsinghua University and ModelBest released Ultra-FineWeb, a trillion-token multilingual dataset that significantly improves large language model accuracy through innovative data filtering.
Tsinghua University researchers developed the Absolute Zero paradigm to train large language models without external data, using a self-evolving code executor system to enhance AI reasoning and learning.
China has launched the world’s first fully AI-powered hospital featuring 14 virtual doctors capable of treating thousands of patients daily while also providing a risk-free training environment for medical students.