5 citations · 10 across the 23 of their papers we have counts for
4 papers · 1 filter
Beyond the Capability Boundary: Zeroth-Order Optimization for Self-Evolving LLM Agents
Bingzhen Liu, Xiaomeng Fan, Yuwei Wu +4
Self-evolving methods improve the capabilities of LLM agents by sampling trajectories from the underlying LLMs and learning from these trajectories. However, these methods struggle…
Curvature Learning for Generalization of Hyperbolic Neural Networks
Xiaomeng Fan, Yuwei Wu, Zhi Gao +2
Hyperbolic neural networks (HNNs) have demonstrated notable efficacy in representing real-world data with hierarchical structures via exploiting the geometric properties of hyperbo…
Large-Scale Riemannian Meta-Optimization via Subspace Adaptation
Peilin Yu, Yuwei Wu, Zhi Gao +2
Riemannian meta-optimization provides a promising approach to solving non-linear constrained optimization problems, which trains neural networks as optimizers to perform optimizati…
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai, Yuwei Wu, Zhi Gao +1
Hyperbolic graph convolutional networks (GCNs) demonstrate powerful representation ability to model graphs with hierarchical structure. Existing hyperbolic GCNs resort to tangent s…