TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion | ScienceToStartup | ScienceToStartup

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References (41)

[1]

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

2025Chengyue Wu, Hao Zhang et al.

[2]

Griffin: Towards a Graph-Centric Relational Database Foundation Model

2025Yanbo Wang, Xiyuan Wang et al.

[3]

Large Language Diffusion Models

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"Develop a unified framework for generating synthetic tabular data with mixed numeric and textual fields using diffusion models."

Data Generation•Score: 6•View PDF ↗

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TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion

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References (41)

Founder's Pitch

"Develop a unified framework for generating synthetic tabular data with mixed numeric and textual fields using diffusion models."

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TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion

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References (41)

Founder's Pitch

"Develop a unified framework for generating synthetic tabular data with mixed numeric and textual fields using diffusion models."

Commercial Viability Breakdown

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