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Zhuo-Tao Tian

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#artificial intelligence Preprint Sep 2026

AutoDataBench: Can Agents Write the Data That Feeds the Self-Improvement Loop?

Recent gains in language model capability have come more from data than from architecture. Frontier labs and data companies produce verifiable agentic tasks, which supervised finetuning and reinforcement learning then turn into capability.This production line still rests on human labour and on human-in-the-loop collabo...

Haotian Luo, Hao-Yu Wang, Ze-Yu Qin et al. · 0 citations

Preprint Aug 2026

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robot trajectories are harder to scale than web-scale image-text data because embodied collection is costly and sparsely covers the physical world. This makes representation quality a central bottleneck: under a fixed robot-d...

Senqiao Yang, Chengyao Wang, Yuxin Chen et al. · 2 citations