Author

Chen Gao

Observed name: Gao, Chen

Institutions: Stanford University, Tsinghua University

Observed institutions: Stanford University, Tsinghua University

OpenAlex ID: A5121558754

CAER: Causal Action Effect Reweighting for World Model Training

2026 · Fang, Jianjie, Liu, Xvyuan, et al. · arXiv (Cornell University)

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IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training

2026 · Tang, Rongze, Fang, Jianjie, et al. · arXiv (Cornell University)

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WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory and In-Context Learning

2026 · Su, Haisheng, Liu, Zongdai, et al. · arXiv (Cornell University)

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AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation

2026 · Cheng, Yen-Chi, Gao, Chen, et al. · arXiv (Cornell University)

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Forecasting Inflation with Microdata: An Adaptive Machine Learning Approach

2026 · Chen, Catherine, Gao, Chen, et al. · arXiv (Cornell University)

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ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception

2026 · Zhang, Weichen, Yu, Shiquan, et al. · arXiv (Cornell University)

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TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment

2026 · Meng, Yu, Luo, Xiangyang, et al. · arXiv (Cornell University)

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CP4D: Compositional Physics-aware 4D Scene Generation

2026 · Zhu, Hanxin, Wang, Cong, et al. · arXiv (Cornell University)

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Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning

2026 · Tang, Yinzhou, Xu, Jingbo, et al. · arXiv (Cornell University)

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WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation

2026 · Zheng, Shengtao, Li, Kai, et al. · arXiv (Cornell University)

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iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework

2026 · Fang, Jianjie, Lei, Yingshan, et al. · arXiv (Cornell University)

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WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

2026 · Chen, Hongjin, Jiang, Shangyun, et al. · arXiv (Cornell University)

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How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace

2026 · Zhao, Baining, Wang, Ziyou, et al. · arXiv (Cornell University)

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Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space

2025 · Zhang, Weichen, Tang, Peizhi, et al. · arXiv (Cornell University)

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Works count: 15

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