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Comprehensive Solution Program Centric Pretraining for Table-and-Text Hybrid Numerical Reasoning. (arXiv:2305.07475v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
Numerical reasoning over table-and-text hybrid passages, such as financial
reports, poses significant challenges and has numerous potential applications.
Noise and irrelevant variables in the model input have been a hindrance to its
performance. Additionally, coarse-grained supervision of the whole solution
program has impeded the model's ability to learn the underlying numerical
reasoning process. In this paper, we propose three pretraining tasks that
operate at both the whole program and sub-program level: Variable Integrity
Ranking, which guides the model to focus …
applications arxiv challenges financial hybrid learn noise numerical performance reasoning reports solution supervision table text variables