Author

Xiaofeng Zhu

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Jul 2026

Strategy-Aware Parameter-Efficient Adaptation for LLM-based Auto-Bidding

SAGE introduces a parameter-efficient multi-modal alignment framework for constrained auto-bidding with Large Language Models, demonstrating that SAGE consistently achieves superior performance while tuning less than 10% of the trainable parameters required by full fine-tuning.

Songyue Cai, Lian-Yu Wang, Shane Gu et al. · arXiv.org · 1 citation

Conference Open access Sep 2026

Bridging Feature-structural Homophily and Long-range Heterogeneity for Self-supervised Heterogeneous Graph Learning

This work proposes a self-expressive solver that captures the complementary homophily between meta-paths and node features to obtain ho-mophilous representations and designs separate path encoders to model diverse interactions, thus explicitly including cross-type interactions while mitigating noise via adaptive fusion...

Min-Da Chen, Yujie Mo, Jun-Kai Huang et al. · Proceedings of the Thirty-Fi... · 0 citations