Papers with supervised image generation approach

1 papers
Aspect-based Sentiment Analysis via Synthetic Image Generation (2025.findings-emnlp)

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Challenge: Recent advances in Aspect-Based Sentiment Analysis (ABSA) have shown promising results, yet the semantics derived solely from textual data remain limited.
Approach: They propose a supervised image generation framework to generate synthetic images with alignment to text and sentiment information.
Outcome: The proposed approach significantly outperforms state-of-the-art methods on multiple benchmark datasets.

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