HATCH (Hint-Annealed Self-Teaching), an online single-policy framework that learns from both generating and using its own hints to improve reasoning without assistance, is proposed and gradient projection is used to remove the opposing component of hint-generation updates.
Zi-Le Wang, Zi-Jian Li, Hao-Dong Wang et al.· 0 citations
This work proposes Counterfactual Relational Policy Optimization (CRPO), which explicitly trains Video LLMs to respond to controlled changes in the visual input, and introduces DyBench, a paired counterfactual benchmark with 3{,}014 videos and a strict pair-accuracy metric.
Da-Zhao Du, Jian Liu, Jia-Long Qin et al.· arXiv.org· 1 citation
Asynchronous Federated Learning (AFL) enhances the efficiency of edge collaborative learning systems by asynchronously aggregating client updates to prevent slowdowns from slow clients. However, in non-IID scenarios, such operations magnify uneven learning among various local data, degrading global model generalization...
Xiaoyi Pang, Yajie Zhou, Zhibo Wang et al.· IEEE Transactions on Mobile...· 0 citations
This work introduces CamChoreo, a benchmark of 4,229 real single-shot clips with expert-annotated temporal segments, and proposes CamDistill, which distills the same geometric knowledge into lightweight camera tokens during training and removes the 3D model at inference.
Da-Zhao Du, Shiyan Du, Jian Liu et al.· 0 citations
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