--- title: "Who cites The better your Syntax, the better — 44 citing papers" description: "44 papers of the Elamur Research library cite «The better your Syntax, the better your Semantics? Probing Pretrained Language Models for…" canonical: "https://research.elamur.ai/free/en/papers/weissweiler-2022-better-your-syntax-better-your/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/weissweiler-2022-better-your-syntax-better-your/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The better your Syntax, the better your…](https://md.research.elamur.ai/free/en/papers/weissweiler-2022-better-your-syntax-better-your/) / cited by # Who cites «The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative» 44 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← back to «The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative»](https://md.research.elamur.ai/free/en/papers/weissweiler-2022-better-your-syntax-better-your/) 1. **[Language Model Behavior: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations* 2. **[Construction Grammar Provides Unique Insight into Neural Language Models](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Leonie Weissweiler, Taiqi He, Naoki Otani, et al.*2023 · 26 citations* 3. **[A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models](https://md.research.elamur.ai/free/en/papers/bonial-2024-construction-grammar-corpus-varying-schematicity/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Claire Bonial, Harish Tayyar Madabushi*2024 · 13 citations* 4. **[Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models](https://md.research.elamur.ai/free/en/papers/rambelli-2023-are-frequent-phrases-directly-retrieved/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.*2023 · 11 citations* 5. [**Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena arXiv:2403.06965**Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2024-hybrid-human-llm-corpus-construction/) 6. **[Constructions are Revealed in Word Distributions](https://md.research.elamur.ai/free/en/papers/rozner-2025-constructions-are-revealed-word-distributions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joshua Rozner, Leonie Weissweiler, Kyle Mahowald, et al.*2025 · 9 citations* 7. [**Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation**Dominik Glandorf, Detmar Meurers*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/glandorf-2024-fine-grained-pedagogical-control-over/) 8. **[Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning](https://md.research.elamur.ai/free/en/papers/mackintosh-2025-evaluating-cxg-generalisation-llms-construction/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Tom Mackintosh, Harish Tayyar Madabushi, Claire Bonial*2025 · 3 citations* 9. **[You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Lara Verheyen, Jonas Doumen, Paul Van Eecke, et al.*2025 · 3 citations* 10. **[Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics](https://md.research.elamur.ai/free/en/papers/lin-2024-probing-large-language-models-scalar/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert*2024 · 3 citations* 11. [**Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs arXiv:2603.17171**Stefano Banno, Penny Karanasou, Kate Knill, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/banno-2026-exploiting-english-grammar-profile-l2/) 12. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation* 13. **[Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain](https://md.research.elamur.ai/free/en/papers/verkijk-2026-out-tune-rather-than-fine/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Stella Verkijk, Piek Vossen*2026 · 1 citation* 14. **[Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation* 15. **[Constructions All the Way Up: From Sensory Experiences to Construction Grammars](https://md.research.elamur.ai/free/en/papers/ekila-2025-constructions-all-way-up-sensory/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Jérôme Botoko Ekila, Lara Verheyen, Katrien Beuls, et al.*2025 · 1 citation* 16. **[A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Paul Van Eecke, Katrien Beuls*2026* 17. **[CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models](https://md.research.elamur.ai/free/en/papers/oba-2026-cxmp-linguistic-minimal-pair-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miyu Oba, Saku Sugawara*2026* 27 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/weissweiler-2022-better-your-syntax-better-your/) — The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative