Beyond Standard LLMs: Emerging Alternative Architectures

Linear attention hybrids explored as alternatives to standard transformers to reduce computational complexity

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Text diffusion and code world models emerge as new learning paradigms beyond autoregressive approaches

Small recursive transformers studied to improve efficiency and scalability of language models

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