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Shi-Qi Pan

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#artificial intelligence Preprint Sep 2026

OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving

OpWeave provides an analytical cost model that bounds the gains of homogeneous and heterogeneous ODS over colocated serving, and jointly optimizes operator partitioning and deployment configuration through a regularity-aware planner that keeps the search tractable even for hybrid-attention models.

Zi-Kun Li, Yixuan Mei, Shi-Qi Pan et al. · 1 citation
#artificial intelligence Preprint Sep 2026

One MLLM, One Call: Efficient Zero-Shot Vision-and-Language Navigation via Spatial-Aware Waypoints

O2C-Nav is proposed, an efficient zero-shot navigation framework that calls only a single large model once per decision step and introduces a training-free structured waypoint generator and a novel abstract representation that projects sparse, history-aware candidate waypoints directly onto RGB images as visual markers...

Shi-Qi Pan, Qi Zheng, Hanmeng Sun et al. · 1 citation

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