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Found 4 papers, 3 papers with code
Resolving References in Visually-Grounded Dialogue via Text Generation
Vision-language models (VLMs) have shown to be effective at image retrieval based on simple text queries, but text-image retrieval based on conversational input remains a challenge.
Collecting Visually-Grounded Dialogue with A Game Of Sorts
We address these concerns by introducing a collaborative image ranking task, a grounded agreement game we call "A Game Of Sorts".
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings
This paper presents CoLLIE: a simple, yet effective model for continual learning of how language is grounded in vision.
Context-sensitive Natural Language Generation for robot-assisted second language tutoring
The L2TOR ITS is developed for the purpose of investigating the efficacy of robot-assisted second language tutoring in early childhood.
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