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VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue

arXiv 2309.07387 ↗First posted 14 Sep 2023cs.CL cs.CVcited by 0

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Abstract (arXiv)

Visually-grounded dialog systems, which integrate multiple modes of communication such as text and visual inputs, have become an increasingly popular area of investigation. However, the absence of a standardized evaluation framework poses a challenge in assessing the development of this field. To this end, we propose VDialogUE, a Visually-grounded Dialogue benchmark for Unified Evaluation. It defines five core multi-modal dialogue tasks and covers six datasets. Furthermore, in order to provide a comprehensive assessment of the model's performance across all tasks, we developed a novel evaluation metric called VDscore, which is based on the Analytic Hierarchy Process~(AHP) method. Additionally, we present a straightforward yet efficient baseline model, named VISIT~(VISually-grounded dIalog Transformer), to promote the advancement of general multi-modal dialogue systems. It progressively builds its multi-modal foundation and dialogue capability via a two-stage pre-training strategy. We believe that the VDialogUE benchmark, along with the evaluation scripts and our baseline models, will accelerate the development of visually-grounded dialog systems and lead to the development of more sophisticated and effective pre-trained models.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 38 of its 48 references that are in the map. First posted on arXiv 14 Sep 2023.

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References · 38

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26 more
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