Papers with unimodal networks

2 papers
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis (2021.findings-emnlp)

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Challenge: Recent studies focus on learning cross-modal dynamics, but neglect to explore optimal solution for unimodal networks.
Approach: They propose a new MSA framework to identify contribution of modalities and reduce impact of noisy information.
Outcome: The proposed model outperforms state-of-the-art methods on publicly available datasets.
Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models (2025.emnlp-main)

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Challenge: Recent studies show that deep vision-only and language-only models project inputs into a partially aligned representational space.
Approach: They investigate whether a model's representational code is semantically shared . they find that alignment peaks in mid-to-late layers of both model types .
Outcome: a forced-choice "Pick-a-Pic" task shows human preferences for image-caption matches are mirrored in embedding spaces across vision-language model pairs.

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