Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pretrained Language Models are Symbolic Mathematics Solvers too!   Solving symbolic mathematics has always been of in the arena of human
ingenuity that needs compositional reasoning and recurrence. However, recent
studies have shown that large-scale language models such as transformers are
universal and surprisingly can be trained as a sequence-to-sequence task to
solve complex mathematical equations. These large transformer models need
humongous amounts of training data to generalize to unseen symbolic mathematics
problems. In this paper, we present a sample efficient way of solving the
symbolic tasks by first pretraining the transformer model with language
translation and then fine-tuning the pretrained transformer model to solve the
downstream task of symbolic mathematics. We achieve comparable accuracy on the
integration task with our pretrained model while using around $1.5$ orders of
magnitude less number of training samples with respect to the state-of-the-art
deep learning for symbolic mathematics. The test accuracy on differential
equation tasks is considerably lower comparing with integration as they need
higher order recursions that are not present in language translations. We
pretrain our model with different pairs of language translations. Our results
show language bias in solving symbolic mathematics tasks. Finally, we study the
robustness of the fine-tuned model on symbolic math tasks against distribution
shift, and our approach generalizes better in distribution shift scenarios for
the function integration.

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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
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The categories of this paper are: adap-org
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The categories of this paper are: atom-ph
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The categories of this paper are: supr-con
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
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The categories of this paper are: math
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The categories of this paper are: q-fin