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G-Loss: Graph-Guided Fine-Tuning of Language Models
本论文提出G-Loss，一种利用图结构引导语言模型微调的新范式，为NLP与图学习交叉领域带来创新解决方案。
arXiv:2604.25853v3 Announce Type: replace-cross Abstract: Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised c…