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Analyzing Compositionality-Sensitivity of NLI Models., , and . CoRR, (2018)TVLT: Textless Vision-Language Transformer., , , and . NeurIPS, (2022)Adversarial NLI: A New Benchmark for Natural Language Understanding., , , , , and . ACL, page 4885-4901. Association for Computational Linguistics, (2020)I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling., , , , and . ACL/IJCNLP (1), page 1699-1713. Association for Computational Linguistics, (2021)Jointly Training Large Autoregressive Multimodal Models., , , , and . ICLR, OpenReview.net, (2024)Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference., , , , , , , and . CoRR, (2021)To what extent do human explanations of model behavior align with actual model behavior?, , , , , and . BlackboxNLP@EMNLP, page 1-14. Association for Computational Linguistics, (2021)Revealing the Importance of Semantic Retrieval for Machine Reading at Scale., , and . EMNLP/IJCNLP (1), page 2553-2566. Association for Computational Linguistics, (2019)Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference., , , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3770-3785. Association for Computational Linguistics, (2021)Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning., , and . ACL (Findings), page 972-987. Association for Computational Linguistics, (2022)