LoKiFormer: Locality-aware attention with decoupled knowledge memory for efficient large language model pretraining
Read the original at arxiv.org→arXiv:2608.12419v1 Announce Type: new Abstract: Large language models (LLMs) have achieved remarkable breakthroughs across various applications. However, their architectures remain inefficient in pretraining due to...
Original headline: "LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining"
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- Aug 14, 04:00 UTC arXiv cs.LG lead source LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining