arXiv:1904.06286
공식 코드 · Papers with Code
CITE: A Corpus of Image-Text Discourse Relations
원문 초록
This paper presents a novel crowd-sourced resource for multimodal discourse: our resource characterizes inferences in image-text contexts in the domain of cooking recipes in the form of coherence relations. Like previous corpora annotating discourse structure between text arguments, such as the Penn Discourse Treebank, our new corpus aids in establishing a better understanding of natural communication and common-sense reasoning, while our findings have implications for a wide range of applications, such as understanding and generation of multimodal documents.
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LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
3D Visual Illusion Depth Estimation
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
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