Papers with discriminative formulation

2 papers
Retrieving Multimodal Prompts for Generative Visual Question Answering (2023.findings-acl)

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Challenge: Visual question answering (VQA) is a multimodal machine learning problem that challenges a model to answer a question posed about an image.
Approach: They propose a generative model enhanced by multimodal prompt retrieval that integrates retrieved prompts and multimodal features to generate answers in free text.
Outcome: The proposed model outperforms its non-retrieval counterpart by 30% on medical VQA tasks.
Radical Allomorphy: Phonological Surface Forms without Phonology (2025.findings-emnlp)

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Challenge: Recent work typically frames morphophonology as generating surface forms from abstract underlying representations (URs) this theory-laden assumption is expensive to annotate, especially in low-resource settings.
Approach: a new approach frames morphophonology as generating surface forms from abstract underlying representations by applying phonological rules or constraints.
Outcome: The proposed model removes the need to posit or label URs and lets the model exploit the surface evidence directly.

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