Papers by Zhengkang Zhang
Exploring Artificial Image Generation for Stance Detection (2025.emnlp-main)
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| Challenge: | Existing approaches to stance detection focus on textual content, which may not capture the implicit stance conveyed by the author. |
| Approach: | They propose a novel approach that transforms original texts into artificially generated images and uses the visual representation to enhance stance detection. |
| Outcome: | The proposed model is able to detect author's stance from a set of artificially generated images and then leverages both the original textual content and the generated image to identify the author' stance. |