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JD.COM {wangjia,linzheng}@iie.ac.cn
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Open-source VLN agents can nearly double their navigation success by remembering where they've been, thanks to a new hierarchical memory system.
LLMs dissect tables in three distinct attention phases: broad scanning, cell localization, and contribution amplification.
LLMs can fail to generalize knowledge edits to instruction-following scenarios due to a "Covariance Trap," but RoSE unlocks robust interactive parametric memory by aligning representations and smoothing the optimization landscape.
