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Research14h ago

TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers

TinyCeNN-LM introduces a quality-gated post-training conversion framework replacing attention in pretrained language models with cellular-recurrent layers…

arXiv – Artificial Intelligence Read original report

#attention#language-models#model-conversion#cellular-recurrent#research#Perplexity#LLM

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arXiv – Artificial IntelligencePrimary source

TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers

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