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cs.CL2023
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
Ting Hu, Christoph Meinel, Haojin Yang
The increasingly Large Language Models (LLMs) demonstrate stronger language understanding and generation capabilities, while the memory demand and computation cost of fine-tuning L…
cs.CL2022
Empirical Evaluation of Post-Training Quantization Methods for Language Tasks
Ting Hu, Christoph Meinel, Haojin Yang
Transformer-based architectures like BERT have achieved great success in a wide range of Natural Language tasks. Despite their decent performance, the models still have numerous pa…