mlsanityData to 7 Oct 2026

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation

arXiv 2105.14445 ↗First posted 30 May 2021cs.CLcited by 8

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Abstract (arXiv)

Multi-modal dialog modeling is of growing interest. In this work, we propose frameworks to resolve a specific case of multi-modal dialog generation that better mimics multi-modal dialog generation in the real world, where each dialog turn is associated with the visual context in which it takes place. Specifically, we propose to model the mutual dependency between text-visual features, where the model not only needs to learn the probability of generating the next dialog utterance given preceding dialog utterances and visual contexts, but also the probability of predicting the visual features in which a dialog utterance takes place, leading the generated dialog utterance specific to the visual context. We observe significant performance boosts over vanilla models when the mutual dependency between text and visual features is modeled. Code is available at https://github.com/ShannonAI/OpenViDial.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 56 of its 79 references that are in the map. First posted on arXiv 30 May 2021.

Builds on

56 of 79 references.

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38 more
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Citing papers per year: 2021: 2; 2022: 1; 2023: 5.

8 papers.