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$GW$ self-energies have a discontinuity at integer particle numbers, explaining why they can give accurate quasiparticle energies despite large delocalization errors in RPA total energies.
Embodied navigation agents, already struggling, fall apart when faced with the kinds of messy, real-world sensor and instruction corruptions that NavTrust now exposes.
LLMs can be used to prune irrelevant information *before* planning, enabling efficient long-horizon multi-robot task planning that outperforms both pure LLM and hybrid LLM-PDDL approaches.
A 1000x larger video reasoning dataset reveals early signs of emergent generalization, offering a new foundation for training and evaluating spatiotemporal AI.
Unlock human-like spatial reasoning in VLMs with VLM-3R, which reconstructs 3D understanding from monocular video using instruction tuning, bypassing the need for external depth sensors.