Building a capable video editor remains significantly harder than a video generator: editing requires (source, instruction, edited) triplets that are prohibitively expensive to annotate and difficult to synthesize at scale, whereas image editing has already reached maturity with millions of such pairs readily available...
Lei-Gang Qu, Feng Cheng, Zi-Yan Yang et al.· 0 citations
On-policy self-distillation (OPSD) lets a language model learn from a frozen copy of itself that sees an answer or a worked solution. Giving the teacher this extra information seems to offer the student more to learn, but how much does it add beyond distillation itself? To isolate that contribution, we construct AMPLE-...
XiuYu Zhang, Wei Chow, Jun-Feng Fang et al.· 1 citation
This work recast the problem as selective trust and introduces MIST, a human-annotated benchmark that renders each reasoning item under four matched conditions, together with SC2W, a paired metric counting how often a misleading signal flips a clean-correct answer to wrong.
Xian-Shui Sun, Wei Chow, Ying-Shuo Wang et al.· 2 citations
This work proposes an action-class-oriented diagnostic framework that decomposes multi-turn failures into two orthogonal modes: action-class miscalibration and action-execution failure.
Kangjia Zhao, Jia-Jun Li, Haozhan Shen et al.· 2 citations
This work organizes the embodied data ecosystem as a pyramidspanning five complementary sources: real-robot data, UMI-style data, egocentric and exocentric data, simulation data, and general vision-language data, and further characterize each source in terms of data quality, diversity, reusability, and physical fidelit...
Yifan Ye, Yankai Fu, Ya-hui Lv et al.· arXiv.org· 4 citations
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