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II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering.

, , , and . ACL (Findings), page 10698-10709. Association for Computational Linguistics, (2024)

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A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding., , , and . NAACL-HLT (3), page 16-24. Association for Computational Linguistics, (2018)II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering., , , and . ACL (Findings), page 10698-10709. Association for Computational Linguistics, (2024)Cluster-Guided Label Generation in Extreme Multi-Label Classification., , , and . EACL, page 1662-1677. Association for Computational Linguistics, (2023)Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification., and . ICASSP, page 7964-7968. IEEE, (2020)Deriving Adjectival Scales from Continuous Space Word Representations., and . EMNLP, page 1625-1630. ACL, (2013)Supervised Domain Enablement Attention for Personalized Domain Classification., and . EMNLP, page 894-899. Association for Computational Linguistics, (2018)Neural word embeddings with multiplicative feature interactions for tensor-based compositions., , and . VS@HLT-NAACL, page 143-150. The Association for Computational Linguistics, (2015)Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding., , , and . ASRU, page 869-876. IEEE, (2021)Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates., and . INTERSPEECH, page 556-560. ISCA, (2018)Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation., , , and . EMNLP, page 21167-21182. Association for Computational Linguistics, (2024)