11 citations · 19 across the 12 of their papers we have counts for
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cs.CV2023
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
Minghe Gao, Juncheng Li, Hao Fei +7
Visual programming, a modular and generalizable paradigm, integrates different modules and Python operators to solve various vision-language tasks. Unlike end-to-end models that ne…
cs.CV2023★ 11 cited
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Juncheng Li, Kaihang Pan, Zhiqi Ge +7
Recent advancements in Multimodal Large Language Models (MLLMs) have been utilizing Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can recognize.…
cs.CV2023★ 7 cited
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Juncheng Li, Minghe Gao, Longhui Wei +7
Prompt tuning, a recently emerging paradigm, enables the powerful vision-language pre-training models to adapt to downstream tasks in a parameter -- and data -- efficient way, by l…