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Tree-structured decoding of math equations

Published on:

14 October 2023

Primary Category:

Computation and Language

Paper Authors:

Wenqi Zhang,

Yongliang Shen,

Qingpeng Nong,

Zeqi Tan,

Yanna Ma,

Weiming Lu


Key Details

Proposes a tree-structured decoding strategy for math equation generation

Decodes equations efficiently in parallel steps based on tree structure

Achieves state-of-the-art performance on math word problem benchmarks

Reduces the number of decoding steps compared to prior methods

Provides a new perspective for structured decoding

AI generated summary

Tree-structured decoding of math equations

This paper introduces a new tree-structured decoding strategy for generating mathematical equations from text descriptions. It can capture the inherent tree structure of equations and decode them efficiently in parallel steps.

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