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Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability.

, , , , , and . ICLR, OpenReview.net, (2022)

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Inductive Bias and Language Expressivity in Emergent Communication., , , and . CoRR, (2020)IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations., , , , , and . IJCNLP (Shared Tasks), page 34-40. Asian Federation of Natural Language Processing, (2017)Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability., , , , , and . CoRR, (2021)Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?, , , , and . EACL (1), page 111-120. Association for Computational Linguistics, (2017)Better Supervisory Signals by Observing Learning Paths., , and . ICLR, OpenReview.net, (2022)lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning., , , and . ICLR, OpenReview.net, (2024)Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability., , , , , and . ICLR, OpenReview.net, (2022)Compositional languages emerge in a neural iterated learning model., , , , and . ICLR, OpenReview.net, (2020)How the level sampling process impacts zero-shot generalisation in deep reinforcement learning., , , , and . CoRR, (2023)Employing External Rich Knowledge for Machine Comprehension., , , , and . IJCAI, page 2929-2925. IJCAI/AAAI Press, (2016)