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EgoPathBench, a dataset and five-task benchmark for first-person waypoint decision-making, and Fine-tuning Qwen 3.5 4B on the released training split improves all four reported evaluations across three external spatial benchmarks, with gains of 1.4--9.6 points.
This work presents SceneActBench, a benchmark for visually conditioned action across five 3D tasks under a unified agent-environment loop, and evaluates each final output against hidden ground truth with task-specific geometric metrics.
ANCHOR, a target-centric paradigm designed to decode gaze-anchored social intent by modeling the joint distribution of visual attention and latent implicit relations, is proposed, providing the first quantitative evidence that implicit social hierarchies can be robustly disentangled and learned directly from static gaz...
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