Zhenzhong Lan

MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs

DND: Boosting Large Language Models with Dynamic Nested Depth

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts

QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution

Breaking the Data Barrier -- Building GUI Agents Through Task Generalization

Value Residual Learning For Alleviating Attention Concentration In Transformers

Planning with MCTS: Enhancing Problem-Solving in Large Language Models