MoEZip: Routing-Aware KV Cache Compression for Sparse Mixture-of-Experts LLMs
MoEZip is a routing-aware KV cache compression technique designed for sparse Mixture-of-Ex…
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MoEZip is a routing-aware KV cache compression technique designed for sparse Mixture-of-Ex…
Agentic· 2026-10-23
arXiv presents the first empirical, phase-decomposed benchmark of handshake overhead in AI…
Agentic· 2026-10-23
MemPlan is a novel memory-conditioned PDDL planning framework designed to address the high…
LLMs & Foundation Models· 2026-10-23
arXiv has released a study titled 'Climbing the Ladder,' which focuses on optimizing low-r…
Research & Papers· 2026-10-23
arXiv has released CiteAnchor, a novel framework for detecting and resolving hallucinated …
Research & Papers· 2026-10-23
A new study on arXiv explores improving the moral judgment performance of Large Language M…
LLMs & Foundation Models· 2026-10-23
arXiv introduces AQL-Lite, a novel framework designed to efficiently adapt multilingual La…
Research & Papers· 2026-10-23
arXiv has released a new study introducing the Linguistic Inclusion Framework (LIF), a mul…
LLMs & Foundation Models· 2026-10-23
Baicaihaochi has released FusionEval, a novel benchmark designed to evaluate the fusion of…
LLMs & Foundation Models· 2026-10-23
arXiv has introduced TauIndianBankBench, a novel benchmark designed to evaluate AI agents …
Agentic· 2026-10-23
arXiv has released Lighthouse, the first multimodal AI-powered digital assistant designed …
LLMs & Foundation Models· 2026-10-23
A new research paper on arXiv introduces baseVultra, a compact nonlinear recurrent cell th…