Author

Da-Zhao Du

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#artificial intelligence May 2026

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning

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

Preprint Aug 2026

WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models

WorldCycle is introduced, a self-verifiable RL framework that constructs closed action cycles and their repeated executions from ordinary action sequences, and optimizes two complementary rewards: a spatial closure reward enforcing symmetry between mirrored forward and reverse segments, and a temporal consistency rewar...

Bohai Gu, Yueyang Yuan, Tai-Yi Wu et al. · 2 citations

Preprint Aug 2026

Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge Distillation

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