All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents. - Zhiqiang Wang; Hao Zheng; Yunshuang Nie; Wenjun Xu; Qingwei Wang; Hua Ye; Zhe Li; Kaidong Zhang; Xuewen Cheng; Wanxi Dong; Chang Cai; Liang Lin; et al. (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

Correctable Landmark Discovery via Large Models for Vision-Language Navigation. - Bingqian Lin; Yunshuang Nie; Ziming Wei; Yi Zhu 004; Hang Xu 004; Shikui Ma; Jianzhuang Liu; Xiaodan Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation. - Ziming Wei; Bingqian Lin; Yunshuang Nie; Jiaqi Chen; Shikui Ma; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents. - Ziming Wei; Bingqian Lin; Zijian Jiao; Yunshuang Nie; Liang Ma; Yuecheng Liu; Yuzheng Zhuang; Xiaodan Liang (CoRR, 2025)

EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation. - Bingqian Lin; Yunshuang Nie; Khun Loun Zai; Ziming Wei; Mingfei Han 002; Rongtao Xu; Minzhe Niu; Jianhua Han; Liang Lin; Cewu Lu; Xiaodan Liang (CoRR, 2025)

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning. - Bingqian Lin; Yunshuang Nie; Ziming Wei; Jiaqi Chen; Shikui Ma; Jianhua Han; Hang Xu 004; Xiaojun Chang; Xiaodan Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)