Ask No More: Deciding when to guess in referential visual dialogue
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Abstract (arXiv)
Our goal is to explore how the abilities brought in by a dialogue manager can be included in end-to-end visually grounded conversational agents. We make initial steps towards this general goal by augmenting a task-oriented visual dialogue model with a decision-making component that decides whether to ask a follow-up question to identify a target referent in an image, or to stop the conversation to make a guess. Our analyses show that adding a decision making component produces dialogues that are less repetitive and that include fewer unnecessary questions, thus potentially leading to more efficient and less unnatural interactions.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 May 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 1.
3 papers.
- 2024Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requestscited by 4
- 2021An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Gamescited by 1
- 2025Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Modelscited by 0
- 2025Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models29 May 2025
- 2024Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests30 Jan 2024
- 2021An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games31 Jan 2021