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The compositionality of neural networks: integrating symbolism and connectionism., , , и . CoRR, (2019)State-of-the-art generalisation research in NLP: a taxonomy and review., , , , , , , , , и 10 other автор(ы). CoRR, (2022)Transcoding Compositionally: Using Attention to Find More Generalizable Solutions., , , и . BlackboxNLP@ACL, стр. 1-11. Association for Computational Linguistics, (2019)Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue., , и . BlackboxNLP@EMNLP, стр. 165-174. Association for Computational Linguistics, (2018)Language Models Use Monotonicity to Assess NPI Licensing., , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4958-4969. Association for Computational Linguistics, (2021)Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning., , и . CoNLL, стр. 294-313. Association for Computational Linguistics, (2023)Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)., и . IJCAI, стр. 5617-5621. ijcai.org, (2018)Co-evolution of language and agents in referential games., , и . CoRR, (2020)Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses., , и . CoRR, (2023)The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study., , и . ACL (1), стр. 4154-4175. Association for Computational Linguistics, (2022)