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# Who cites «Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best»

2 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/)

1. kamerath-2026-investigating-syntactic-biases-multilingual-transformers
2. zhou-2024-modeling-morphosyntactic-agreement-as-neural
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