most citedActivation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference

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cs.LG2026

Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning

Xi Wang, Cheng Deng

Model merging provides a compelling paradigm for integrating specialized expertise into a unified multi-task model, a goal that aligns naturally with the sequential knowledge acqui…

cs.LG2026

Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs

Luoyang Sun, Jiwen Jiang, Yifeng Ding +9

Vision-Language-Action Models (VLAs) have emerged as a key paradigm of Physical AI and are increasingly deployed in autonomous vehicles, robots, and smart spaces. In these resource…