3 papers
cs.CL2026
Evaluating the Generation Capabilities of Large Chinese Language Models
Hui Zeng, Jingyuan Xue, Meng Hao +3
This paper unveils CG-Eval, the first-ever comprehensive and automated evaluation framework designed for assessing the generative capabilities of large Chinese language models acro…
cs.CL2026
Measuring Massive Multitask Chinese Understanding
Hui Zeng
The development of large-scale Chinese language models is flourishing, yet there is a lack of corresponding capability assessments. Therefore, we propose a test to measure the mult…
cs.CL2026
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
DeepSeek-AI, Anyi Xu, Bangcai Lin +315
We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…