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Found 3 papers, 2 papers with code
Configuration Validation with Large Language Models
We present a first analysis on the feasibility and effectiveness of using LLMs for configuration validation.
Greedy Modality Selection via Approximate Submodular Maximization
We formulate a theoretical framework for optimizing modality selection in multimodal learning and introduce a utility measure to quantify the benefit of selecting a modality.
A Visual Attention Grounding Neural Model for Multimodal Machine Translation
The model leverages a visual attention grounding mechanism that links the visual semantics with the corresponding textual semantics.
Ranked #12 on
Multimodal Machine Translation
on Multi30K
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