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Qiang Tang

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#artificial intelligence Preprint Sep 2026

Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents

Linguistic Trajectory Encoding (LTE) is introduced, which compresses dynamic object motion histories via a hybrid representation combining natural language descriptions, sparse spatial anchors, and visual anchors, and adapts compression to motion complexity by anchoring periods without reliable observations to the last...

Tianyidan Xie, Shen-Yi Wang, Qiang Tang et al. · 0 citations
Preprint Jul 2026

Single-Teacher View Augmentation: Enhancing Knowledge Distillation with Student-Guided Perturbations

Shift-Augmented Knowledge Distillation (SAKD) is proposed, a simple yet effective framework that leverages the student's evolving features as a dynamic condition for perturbation generation, enabling single-stage training while producing adaptive, diverse views through a parameter-free cyclic shift.

Xuyi Yu, Yaohua Liu, Chengjun Li et al. · 0 citations

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