1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Contrastive Branch Policy Optimization
Ying Wang, Changlin Qiu, Bang Lin +4
Reinforcement learning with verifiable rewards (RLVR) enables language models to learn multi-turn interaction with external tools, yet its sparse outcome rewards provide no signal…
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…
cs.AI2021★ 1 cited
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning
Bang Lin, Xiuchong Wang, Yu Dong +3
Most real-world datasets are inherently heterogeneous graphs, which involve a diversity of node and relation types. Heterogeneous graph embedding is to learn the structure and sema…