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Found 5 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.
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts
In the context of the rapid development of large language models, we have meticulously trained and introduced the GujiBERT and GujiGPT language models, which are foundational models specifically designed for intelligent information processing of ancient texts.
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective
Multimodal machine translation (MMT) aims to improve translation quality by equipping the source sentence with its corresponding image.
SsciBERT: A Pre-trained Language Model for Social Science Texts
The academic literature of social sciences records human civilization and studies human social problems.
Going Wider: Recurrent Neural Network With Parallel Cells
Recurrent Neural Network (RNN) has been widely applied for sequence modeling.
