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Zheng Lian

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#artificial intelligence Preprint Oct 2026

VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning

Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. However, current fixed judges constrain both optimization feedback and the discovery of useful training examples, limiting further self-improvement. This challenge is even more acute in embodied reasoning...

Ze-Wei Zhou, Rachel Luo, Yu-Long Cao et al. · 2 citations
#artificial intelligence Preprint Oct 2026

Grounding What Shapes the Plan: Rethinking Groundedness for Physical Intelligence in Autonomous Driving

Driving models increasingly ground reasoning in causal relations, spatial structure, perceptual evidence, and predicted futures. These advances make reasoning more faithful to the driving scene, but leave a fundamental question unresolved: what should groundedness mean when the model ultimately outputs an action? Corre...

Minkyoung Cho, Ze-Wei Zhou, Wen-Hao Ding et al. · 0 citations

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