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Personalization is essential for general-purpose robots to transition into household environments and achieve true practicality. While general robotic manipulation has been extensively studied, person

Zhixu Li, Keqian Tang, Litian Gong

Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of effici

Andi Gu, Alek H. Kemeny, Susanne F. Yelin

Predicting how the world responds to an action requires more than what can be seen: robots must account for environmental factors that are neither directly observable nor explicitly specified, from ph

Chenyuan Zhou, Yining Hong, Huang Huang

Generative simulation can automate robot environment construction, but physically valid environments are not necessarily useful for training. The challenge is to identify environments that address a p

Tianjiao Yu, Zhilin Ou, Yifan Shen

Time series foundation models are becoming increasingly popular for general-purpose forecasting. However, most leading models predict marginal quantiles, leaving the dependence structure of future tra

Jiachen Yao, Xiyuan Zhang, Annan Yu

Mixture-of-experts (MoE) models have become an important approach for scaling model parameters. Modern MoE architectures increasingly combine two design choices: fine-grained expert segmentation and s

Bingcong Li, Hao Ma, Michael Muehlebach

Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engin

Dongxu Yang, Hongda Yan, Renxin Wang

Large language models (LLMs) are expanding from assisting scientific research and engineering to autonomously developing and improving AI systems, advancing AI for AI (AI4AI) as a pathway toward recur

Shangheng Du, Jinxin Shi, Shuaiyu Zhang

Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view dependence of these f

Hongchang Liu, Jian Liu, Yujuan Ding

We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-scale, high-quality datasets of executable

Yipeng Gao, Ziyao Zeng, Jinfa Huang

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