Papers by Yin-Wen Chang

1 papers
A Simple and Effective Positional Encoding for Transformers (2021.emnlp-main)

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Challenge: Recent studies suggest that relative position encodings provide better performance than absolute position coding.
Approach: They propose a mechanism to encode position and segment information into Transformer models using relative position encodings.
Outcome: The proposed method achieves faster training and inference time while achieving competitive performance on GLUE, XTREME and WMT benchmarks.

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