SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport | ScienceToStartup | ScienceToStartup

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References (52)

[1]

Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks

2025Yauhen Babakhin, Radek Osmulski et al.

[2]

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

2025Fabian Gröger, Shuo Wen et al.

[3]

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Founder's Pitch

"Develop SOTAlign, a framework for aligning vision and language models using semi-supervised optimal transport."

Vision-Language Alignment•Score: 7•View PDF ↗

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SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport

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References (52)

Founder's Pitch

"Develop SOTAlign, a framework for aligning vision and language models using semi-supervised optimal transport."

Commercial Viability Breakdown

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