most citedPre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2026

CogEvol: Towards Efficient and Reliable Learning Environment Generation

Shangqing Tu, Daniel Zhang-Li, Yucheng Wang +20

We present CogEvol, a family of models trained specifically for Learning Environment Generation: turning a course brief into a finished learning artifact (structured-JSON slides or…

cs.CL2021★ 2 cited

Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation

Hongyin Zhu, Hao Peng, Zhiheng Lyu +3

Existing technologies expand BERT from different perspectives, e.g. designing different pre-training tasks, different semantic granularities, and different model architectures. Few…