---
title: "Who cites Can Language Models Handle — 32 citing papers"
description: "32 papers of the Elamur Research library cite «Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Language Models Handle Recursively Nested…](https://md.research.elamur.ai/free/en/papers/lampinen-2024-can-language-models-handle-recursively/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/lampinen-2024-can-language-models-handle-recursively/)

1. **[Prompting is not a substitute for probability measurements in large language models](https://md.research.elamur.ai/free/en/papers/hu-2023-prompting-is-not-substitute-probability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jennifer Hu, Roger Levy*2023 · 133 citations*
2. [**Entity Tracking in Language Models arXiv:2305.02363**Najoung Kim, Sebastian Schuster*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-entity-tracking-language-models/)
3. [**Auxiliary task demands mask the capabilities of smaller language models arXiv:2404.02418**Jennifer Hu, Michael C. Frank*2024 · 41 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-auxiliary-task-demands-mask-capabilities/)
4. [**Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models arXiv:2403.14859**Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al.*2024 · 29 citations*](https://md.research.elamur.ai/free/en/papers/kauf-2024-log-probabilities-reliable-estimate-semantic/)
5. [**Language Models as Models of Language arXiv:2408.07144**Raphael Milliere*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/milliere-2024-language-models-models-language/)
6. **[Anthropocentric Bias in Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/milliere-2026-anthropocentric-bias-language-model-evaluation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Raphaël Millière, Charles Rathkopf*2026 · 8 citations*
7. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Raha Askari, Sina Zarrieß, Özge Alacam, et al.*2025 · 4 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/lampinen-2024-can-language-models-handle-recursively/) — Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans