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GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning.

, , and . WACV, page 5762-5771. IEEE, (2024)

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Efficient In-Context Learning in Vision-Language Models for Egocentric Videos., , , and . CoRR, (2023)Dynamic User Level and Utility Measurement for Adaptive Dialog in a Help-Desk System., and . SIGDIAL Workshop, page 94-101. The Association for Computer Linguistics, (2000)GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning., , and . WACV, page 5762-5771. IEEE, (2024)MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition., , and . EMNLP (Findings), page 12224-12236. Association for Computational Linguistics, (2023)NLP Reproducibility For All: Understanding Experiences of Beginners., , , and . ACL (1), page 10199-10219. Association for Computational Linguistics, (2023)Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition., , and . ACL (1), page 15475-15493. Association for Computational Linguistics, (2023)LinkGPT: Teaching Large Language Models To Predict Missing Links., , , , and . CoRR, (2024)Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?, , , , and . CoRR, (2023)Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?, , , , , , , , and . CoRR, (2023)LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent., , , , , , and . ICRA, page 7694-7701. IEEE, (2024)