CoFrGeNets implement a continued-fraction function class as plug-in replacements for transformer blocks, delivering competitive or superior downstream performance on GPT2-xl and Llama3-scale models with one-half to two-thirds the parameters.
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Joint training of the latent space with the diffusion process produces a competitive latent diffusion language model that is faster than existing discrete and continuous diffusion baselines.
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CoFrGeNet: Continued Fraction Architectures for Language Generation
CoFrGeNets implement a continued-fraction function class as plug-in replacements for transformer blocks, delivering competitive or superior downstream performance on GPT2-xl and Llama3-scale models with one-half to two-thirds the parameters.
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How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
Joint training of the latent space with the diffusion process produces a competitive latent diffusion language model that is faster than existing discrete and continuous diffusion baselines.