Zheng Jun

2 accepted papers

2026

OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework

Wenjie Wang, Yufeng Jiang, Ge Sun, Chenghang Dong, Zheng Jun, Li Mengjie +4

AAAI 2026technical

Recently, with the increasing capabilities of Large Language Models (LLMs), AI applications have gradually emerged to solve various problems in people

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

START: Traversing Sparse Footholds With Terrain Reconstruction

Ruiqi Yu, Qianshi Wang, Hongyi Li, Zheng Jun, Zhicheng Wang, Jun Wu +1

RA-L 2026

Traversing terrains with sparse footholds like legged animals presents a promising yet challenging task for quadruped robots, as it requires precise environmental perception and agile control to secure safe foot placement while maintaining dynamic stability. Model-based hierarchical controllers exce

Cited by 3 Source ↗Scholar ↗