AnnoSketch: Evaluating and Collecting Human Sketches for MLLM-assisted Chart Annotation
As multimodal large language models (MLLMs) support a growing range of input modalities, increasing work explores how to incorporate rough sketches to convey user intent. For annotated chart generation, it remains unclear what annotation sketches people provide and when such visual input helps MLLMs generate more usefu...
Yoon-Gu Oh, Seon Gyeom Kim, J. Choi et al.
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