🔗 Who cites «Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans»

1. Prompting is not a substitute for probability measurements in large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jennifer Hu, Roger Levy2023 · 133 citations
2. Entity Tracking in Language ModelsarXiv:2305.02363Najoung Kim, Sebastian Schuster2023 · 62 citations
3. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
4. Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language ModelsarXiv:2403.14859Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al.2024 · 29 citations
5. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
6. Anthropocentric Bias in Language Model EvaluationComputational LinguisticsRaphaël Millière, Charles Rathkopf2026 · 8 citations
7. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language ModelsBabyLM WorkshopRaha Askari, Sina Zarrieß, Özge Alacam, et al.2025 · 4 citations

25 more papers of our library cite it; they have no page here yet.

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