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cs.CL2026
G-Loss: Graph-Guided Fine-Tuning of Language Models
Aditya Sharma, Vinti Agarwal, Rajesh Kumar
Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised contrastive losses, used for fine-tuning pre-trained language models such as BERT, operat…
cs.CL2026
ModTGCN: Modularity-aware Graph Neural Networks for Text Classification
Rajarshi Misra, Aditya Sharma, Vinti Agarwal +1
Graph-based text classification models typically rely on local neighborhood aggregation and overlook global community structure, despite semantic document graphs exhibiting strong…