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#artificial intelligence Preprint Sep 2026

LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization

Recent LLMs increasingly adopt hybrid designs that replace standard attention with linear attention, such as Gated DeltaNet (GDN) and Kimi Delta Attention (KDA). Although they compress the context into a fixed-size recurrent state and substantially reduce the cost of long-context processing, repeatedly reading and upda...

Yi Pan, Hao-Cheng Xi, Kan Zhu et al. · 0 citations
#machine learning Review Sep 2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

This framework organizes existing methods around five components: explicit state representation, transition structuring, validation and constraint enforcement, search and rollback, and uncertainty management, and yields a diagnostic hypothesis: interventions should be most effective when they target the error or uncert...

Jia-Zhang Cai, Tao Wang, Rui-Dong Zhang et al. · 0 citations

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