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Ziqing Hu

2 accepted papers

2025

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach

ICML 2025poster

Mixture of Experts (MoE) have shown remarkable success in leveraging specialized expert networks for complex machine learning tasks. However, their susceptibility to adversarial attacks presents a critical challenge for deployment in robust applications. This paper addresses the critical question of…

Cited by 0SourcePDFScholar
2024

Graph Neural Prompting with Large Language Models

AAAI 2024technical

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in precisely capturing and returning grounded knowledge. While existing work has explored utilizing knowledge…