The evaluation shows that existing steering methods remain unreliable across realistic control objectives: they often fail to consistently induce the intended behavior and can substantially degrade the model's underlying task performance, suggesting that strong steering effects in controlled settings do not necessarily...
Xin-Yi Cai, Bin Hu, Ming-Yu Jin et al.· 0 citations
APT-Tune is proposed, a parameter-efficient recipe that teaches VLMs to use causal transitions without forgetting how to answer video questions, and substantially improves APT recall while also improving event-level video transfer.
Shang Wu, Haoran Lu, Song-Lin Liu et al.· arXiv.org· 0 citations
From YAML-first specifications that decouple contents, placement, behavior, and agent exposure, MagicSim constructs diverse executable worlds spanning task families, interaction regimes, physics, layouts, sensors, avatars, and robot embodiments in one reset-and-step loop.
