The paper titled 'QV May Be Enough: Toward the Essence of Attention in LLMs' offers a foundational analysis of attention mechanisms in large language models (LLMs).
It approaches the topic from a linguistic standpoint, focusing on part-of-speech and syntactic structures to derive insights about Query-Key-Value frameworks.
Published on March 18, 2026, this work contributes to the ongoing discourse on optimizing LLM architectures and their operational efficiencies.