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KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models.

, , , , , , and . ACL (industry), page 772-785. Association for Computational Linguistics, (2023)

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Discourse Analysis for Evaluating Coherence in Video Paragraph Captions., and . CoRR, (2022)A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System., , and . IJCNLP, page 1216-1222. Asian Federation of Natural Language Processing / ACL, (2013)Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions., , , , and . EMNLP (1), page 6398-6416. Association for Computational Linguistics, (2021)Natural Language Interaction with Explainable AI Models., , , and . CVPR Workshops, page 87-90. Computer Vision Foundation / IEEE, (2019)A Web-Based Virtual Laboratory for Electromagnetic Theory., , and . T4E, page 13-18. IEEE Computer Society, (2013)Towards Auto-remediation in Services Delivery: Context-Based Classification of Noisy and Unstructured Tickets., , , , and . ICSOC, volume 8831 of Lecture Notes in Computer Science, page 478-485. Springer, (2014)Discriminative Diffusion Models as Few-shot Vision and Language Learners., , , , , , , , and . CoRR, (2023)MetaCLUE: Towards Comprehensive Visual Metaphors Research., , , , , , , , , and 2 other author(s). CoRR, (2022)Explainable AI as Collaborative Task Solving., , , , and . CVPR Workshops, page 91-94. Computer Vision Foundation / IEEE, (2019)CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization., , , , , and . EMNLP (1), page 2148-2166. Association for Computational Linguistics, (2021)