7 citations · 11 across the 4 of their papers we have counts for
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cs.CL2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Efficient finetuning of pretrained language transformers is becoming increasingly prevalent for solving natural language processing tasks. While effective, it can still require a l…
cs.CL2022★ 2 cited
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
Umang Gupta, Jwala Dhamala, Varun Kumar +7
Language models excel at generating coherent text, and model compression techniques such as knowledge distillation have enabled their use in resource-constrained settings. However,…