3 citations · 11 across the 18 of their papers we have counts for
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cs.CV2024★ 1 cited
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
Huitong Pan, Qi Zhang, Cornelia Caragea +2
Flowcharts are graphical tools for representing complex concepts in concise visual representations. This paper introduces the FlowLearn dataset, a resource tailored to enhance the…
cs.CV2024★ 1 cited
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan +5
In e-commerce, accurately extracting product attribute values from multimodal data is crucial for improving user experience and operational efficiency of retailers. However, previo…
cs.CV2023★ 1 cited
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea, Cornelia Caragea
We introduce MarginMatch, a new SSL approach combining consistency regularization and pseudo-labeling, with its main novelty arising from the use of unlabeled data training dynamic…