2 papers
cs.RO2026
LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
Jialei Chen, Kai Wang, Kang Chen +9
Vision-Language-Action models (VLAs) leverage large-scale vision-language pretraining for semantic robot control, but often lack explicit foresight into how robot actions change th…
cs.IR2026
Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
Chen Chen, Haobo Lin, Yuanbo Xu
Learning from implicit feedback is a fundamental problem in modern recommender systems, where only positive interactions are observed and explicit negative signals are unavailable.…