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Creators/Authors contains: "Voas, Jordan"

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  1. ; ; ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available February 26, 2026
  2. ; ; (, Association for Computational Linguistics)
    Full Text Available 
  3. ; ; (, https://doi.org/10.48550/arXiv.2406.06438)
    his paper introduces Semantic Parsing in Contextual Environments (SPICE), a task aimed at improving artificial agents’ contextual awareness by integrating multimodal inputs with prior contexts. Unlike traditional semantic parsing, SPICE provides a structured and interpretable framework for dynamically updating an agent’s knowledge with new information, reflecting the complexity of human communication. To support this task, the authors develop the VG-SPICE dataset, which challenges models to construct visual scene graphs from spoken conversational exchanges, emphasizing the integration of speech and visual data. They also present the Audio-Vision Dialogue Scene Parser (AViD-SP), a model specifically designed for VG-SPICE. Both the dataset and model are released publicly, with the goal of advancing multimodal information processing and integration. 
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    Accepted Manuscript Full Text Available
  4. ; ; ; (, ACM SIGGRAPH Asia)
    Full Text Available