Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation
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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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Citing papers per year: 2021: 2; 2022: 1; 2023: 5.
8 papers.
- 2022DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Datasetcited by 17
- 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contextscited by 16
- 2021ConRPG: Paraphrase Generation using Contexts as Regularizercited by 13
- 2023VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitionscited by 11
- 2023TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real Worldcited by 7
- 2023Iterative Adversarial Attack on Image-guided Story Ending Generationcited by 2
- 2023Syllable-level lyrics generation from melody exploiting character-level language modelcited by 2
- 2023Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialogcited by 1
- 2023Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog11 Oct 2023
- 2023Syllable-level lyrics generation from melody exploiting character-level language model2 Oct 2023
- 2023VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions30 May 2023
- 2023Iterative Adversarial Attack on Image-guided Story Ending Generation16 May 2023
- 2023TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World14 Jan 2023
- 2022DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset8 Dec 2022
- 2021OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts27 Sep 2021
- 2021ConRPG: Paraphrase Generation using Contexts as Regularizer1 Sep 2021