Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...
Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...
ABSTRACT: The bending analysis of homogenous and non-homogenous sandwich plates is investigated using classical thin plate theory. Two types of homogenous and non-homogenous sandwich plates are ...
Most AI benchmarks don’t tell us much. They ask questions that can be solved with rote memorization, or cover topics that aren’t relevant to the majority of users. So some AI enthusiasts are turning ...
Abstract: We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language ...
How to Fine-Tune BERT for Text Classification? This is the code and source for the paper How to Fine-Tune BERT for Text Classification? In this paper, we conduct exhaustive experiments to investigate ...
when I run the Bert-GLUE_OnnxRuntime_quantization.ipynb in google colab，I got the follow error: Warning: onnxruntime_tools is deprecated. Use onnxruntime or ...
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