Who cites «What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length»
- Manipulating language models' training data to study syntactic constraint learning: the case of English passivizationarXiv:2407.04593Cara Su-Yi Leong, Tal Linzen2024 · 8 citations
- Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic DatasetsConference of the European Chapter of the Association for Computational Linguistics (EACL)Omar Momen, Emilie Sitter, Berenike Herrmann, et al.2026 · 1 citation
This page in Markdown → https://md.research.elamur.ai/free/en/papers/tjuatja-2025-what-goes-into-lm-acceptability/cited-by/