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Found 3 papers, 1 papers with code
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
This paper presents RevOrder, a novel technique aimed at improving arithmetic operations in large language models (LLMs) by reversing the output digits in addition, subtraction, and n-digit by 1-digit (nD by 1D) multiplication tasks.
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Graph neural networks (GNNs) have shown great power in learning on attributed graphs.
Going Wider: Recurrent Neural Network With Parallel Cells
Recurrent Neural Network (RNN) has been widely applied for sequence modeling.
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