most citedImproving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning

1 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.CL2024★ 1 cited

Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning

Trapoom Ukarapol, Zhicheng Lee, Amy Xin

While Large Language Models show remarkable performance in natural language understanding, their resource-intensive nature makes them less accessible. In contrast, smaller language…

cs.CV2024★ 1 cited

GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion

Trapoom Ukarapol, Kevin Pruvost

Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets. In this paper, w…