🔗 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

1. Investigating Syntactic Biases in Multilingual Transformers with RC Attachment Ambiguities in Italian and English — 2026 · Proceedings of the Society for Computation in Linguistics 2026
2. Modeling morphosyntactic agreement as neural search: a case study of Hindi-Urdu — 2024 · Proceedings of the Society for Computation in Linguistics 2024

This page in Markdown → https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/cited-by/