ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning | ScienceToStartup | ScienceToStartup

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References (32)

[1]

DynaSolidGeo: A Dynamic Benchmark for Genuine Spatial Mathematical Reasoning of VLMs in Solid Geometry

2025Changti Wu, Shijie Lian et al.

[2]

Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks

2025Shijie Lian, Changti Wu et al.

[3]

Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement

Founder's Pitch

"ScalSelect offers an efficient data selection tool that reduces training costs for vision-language models by 84% without sacrificing performance, making it ideal for scalable Visual Instruction Tuning."

Multimodal AI•Score: 8•View PDF ↗

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ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning

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References (32)

Founder's Pitch

"ScalSelect offers an efficient data selection tool that reduces training costs for vision-language models by 84% without sacrificing performance, making it ideal for scalable Visual Instruction Tuning."

Commercial Viability Breakdown

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ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning

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Build This Paper

Recommended Stack

Startup Essentials

References (32)

Founder's Pitch

"ScalSelect offers an efficient data selection tool that reduces training costs for vision-language models by 84% without sacrificing performance, making it ideal for scalable Visual Instruction Tuning."

Commercial Viability Breakdown

Related Papers

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