Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Counter-Interference Adapter for Multilingual Machine Translation   Developing a unified multilingual model has long been a pursuit for machine
translation. However, existing approaches suffer from performance degradation
-- a single multilingual model is inferior to separately trained bilingual ones
on rich-resource languages. We conjecture that such a phenomenon is due to
interference caused by joint training with multiple languages. To accommodate
the issue, we propose CIAT, an adapted Transformer model with a small parameter
overhead for multilingual machine translation. We evaluate CIAT on multiple
benchmark datasets, including IWSLT, OPUS-100, and WMT. Experiments show that
CIAT consistently outperforms strong multilingual baselines on 64 of total 66
language directions, 42 of which see above 0.5 BLEU improvement. Our code is
available at \url{https://github.com/Yaoming95/CIAT}~.

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The categories of this paper are: adap-org
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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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The categories of this paper are: acc-phys
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The categories of this paper are: chao-dyn
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The categories of this paper are: cmp-lg
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
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The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
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The categories of this paper are: q-bio