Who cites «Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages»
- Calibrate Before Use: Improving Few-Shot Performance of Language ModelsarXiv:2102.09690Tony Z. Zhao, Eric Wallace, Shi Feng, et al.2021 · 825 citations
- What Artificial Neural Networks Can Tell Us About Human Language AcquisitionarXiv:2208.07998Alex Warstadt, Samuel R. Bowman2022 · 177 citations
- UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
- Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence NetworksTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Robert Frank, Tal Linzen2020 · 123 citations
- How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 117 citations
- Cross-Linguistic Syntactic Evaluation of Word Prediction ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, et al.2020 · 98 citations
- Zoology: Measuring and Improving Recall in Efficient Language ModelsarXiv:2312.04927Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re2023 · 55 citations
- Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL)Hitomi Yanaka, Koji Mineshima2022 · 33 citations
- A Cross-Linguistic Pressure for Uniform Information Density in Word OrderTransactions of the Association for Computational Linguistics (TACL)Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, et al.2023 · 24 citations
- On the Difficulty of Translating Free-Order Case-Marking LanguagesTransactions of the Association for Computational Linguistics (TACL)Arianna Bisazza, Ahmet Üstün, Stephan Sportel2021 · 19 citations
- Can Language Models Learn Typologically Implausible Languages?Transactions of the Association for Computational Linguistics (TACL)Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.2026 · 10 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/ravfogel-2019-studying-inductive-biases-rnns-synthetic/cited-by/