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Huixin Liu

2 accepted papers

2025

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging

EMNLP 2025

With the development of large language models, fine-tuning has emerged as an effective method to enhance performance in specific scenarios by injecting domain-specific knowledge. In this context, model merging techniques provide a solution for fusing knowledge from multiple fine-tuning models by com

2022

Block Modeling-Guided Graph Convolutional Neural Networks

AAAI 2022technical

Graph Convolutional Network (GCN) has shown remarkable potential of exploring graph representation. However, the GCN aggregating mechanism fails to generalize to networks with heterophily where most nodes have neighbors from different classes, which commonly exists in real-world networks. In order t…