most citedSolving Motion Planning Tasks with a Scalable Generative Model

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Distillation as Probability Transport: Routed On-Policy Distillation

Tianle Xia, Lingxiang Hu, Yiding Sun +6

On-policy distillation (OPD) transfers teacher knowledge on student-generated trajectories, but efficient sampled objectives reduce the teacher distribution to scalar credit on ind…

cs.CV2026

How Far Are Video Models from True Multimodal Reasoning?

Xiaotian Zhang, Jianhui Wei, Yuan Wang +9

Despite remarkable progress toward general-purpose video models, a critical question remains unanswered: how far are these models from achieving true multimodal reasoning? Existing…

cs.CL2026

GraSP: Graph-Structured Skill Compositions for LLM Agents

Tianle Xia, Lingxiang Hu, Yiding Sun +5

Skill ecosystems for LLM agents have matured rapidly, yet recent benchmarks show that providing agents with more skills does not monotonically improve performance -- focused sets o…

cs.LG2024

Generating CAD Code with Vision-Language Models for 3D Designs

Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi +3

Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves usi…

cs.RO20241 cited

Solving Motion Planning Tasks with a Scalable Generative Model

Yihan Hu, Siqi Chai, Zhening Yang +6

As autonomous driving systems being deployed to millions of vehicles, there is a pressing need of improving the system's scalability, safety and reducing the engineering cost. A re…