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cs.CL2023★ 3 cited
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations
Jiachi Liu, Liwen Wang, Guanting Dong +8
In real dialogue scenarios, as there are unknown input noises in the utterances, existing supervised slot filling models often perform poorly in practical applications. Even though…
cs.CL2023
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
Hang Shao, Bei Liu, Bo Xiao +3
Various Large Language Models~(LLMs) from the Generative Pretrained Transformer(GPT) family have achieved outstanding performances in a wide range of text generation tasks. However…