interaction-aware

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#interaction-aware

IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training

arXiv cs.AI ↗ · 2026-09-02 Cached

IMPACT is a scalable framework for training interaction-aware world models by using cross-attention as an internal interaction map to reweight denoising supervision, improving performance without external representations or inference-time changes.

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#interaction-aware

EnvShip-Bench: An Environment-Enhanced Benchmark for Short-Term Vessel Trajectory Prediction

arXiv cs.LG ↗ · 2026-06-16 Cached

EnvShip-Bench is a new benchmark for short-term vessel trajectory prediction, built from large-scale AIS data with standardized protocols and environmental context extensions.

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