Papers by Dalin Wang
Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics (2025.acl-long)
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| Challenge: | Existing studies assessing the spatial abilities of VLMs lack a solid theoretical foundation and lack measurable data. |
| Approach: | They propose a psychometric framework defining five basic spatial abilities in Visual Language Models. |
| Outcome: | The proposed framework defines five basic spatial abilities in Visual Language Models (VLMs) it provides a comprehensive evaluation benchmark and methodological perspective for embodied AI development . |
On the Role of Scene Graphs in Image Captioning (D19-64)
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| Challenge: | Recent captioning approaches rely on ad-hoc approaches to obtain graphs for images, but they introduce noise and it is unclear the effect of parser errors on captioning accuracy. |
| Approach: | They investigate whether scene graphs can help image captioning . they show that a scene graph parser can boost performance almost as much as ground truth graphs . |
| Outcome: | The proposed parser can boost performance almost as much as ground truth graphs . |