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Visualizing the Relationship Between Encoded Linguistic Information and Task Performance.

, , , , , и . CoRR, (2022)

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Wei Xiang

Xuemin Xiang

Ming Xiang

Yonggang Xiang

Wei Xiang

 

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Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation., , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 699-707. Association for Computational Linguistics, (2020)Visualizing the Relationship Between Encoded Linguistic Information and Task Performance., , , , , и . ACL (Findings), стр. 410-422. Association for Computational Linguistics, (2022)Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics., , , , , , и . ACL (Findings), стр. 150-157. Association for Computational Linguistics, (2022)MMToM-QA: Multimodal Theory of Mind Question Answering., , , , , , , , , и . CoRR, (2024)Language Models Meet World Models: Embodied Experiences Enhance Language Models., , , , , , и . CoRR, (2023)Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation., , и . ViGIL@NeurIPS, (2019)An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method., , , , и . Sensors, 18 (10): 3466 (2018)Assessing Dialogue Systems with Distribution Distances., , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2192-2198. Association for Computational Linguistics, (2021)ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models., , , , и . EMNLP (Findings), стр. 1886-1899. Association for Computational Linguistics, (2022)