Regulatory compliance is an important requirement in many industrial and administrative settings. Yet compliance assessment remains difficult because regulatory requirements are distributed across structured documents and may depend on hierarchy, definitions, conditions, and cross-references, while the evidence relevan...
Jiseong Chung, Ronny Ko, Won-Yong Shin et al.· 0 citations
Pioneering companies such as Waymo have deployed electric robo-taxi services in several U.S. cities. Operating such fleets requires coordinating ride matching, vehicle repositioning, and battery charging in a stochastic environment while accounting for limited charging infrastructure. Understanding both how to design e...
Experiments show that current VLA policies struggle with zero-shot personalization, while SFT makes preferences learnable, and a controlled formulation and taxonomy of observable preferences in simulation is proposed, covering motion, skill, and user-profile choices.
Zhi-Xu Li, Ke Tang, Li-Tian Gong et al.· 0 citations
An evolutionary framework in which large language models propose circuit designs and an independent evaluator verifies and scores them is introduced and opens the door for evaluator-guided LLM co-design of new algorithmic structures for quantum computation.
An-Di Gu, Alek H. Kemeny, S. Yelin et al.· 8 citations· ⚡2
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T2-Z is introduced for test-time optimization of environment latents, which augments a robotic world model with a learnable environment latent to condition world predictions, and can efficiently infer environment latents from as little as a single test-time interaction trajectory.
Chen-Yuan Zhou, Yi-Ning Hong, Huang Huang et al.· 0 citations
This work introduces CoDA, a framework in which a simulation data engine and an action policy co-evolve through a shared heterogeneous memory of environment construction, policy failures, and learning progress, and proposes Text2potential to convert these diagnoses into staged potentials for action-chunk value learning...
Tianjiao Yu, Zhi-Lin Ou, Yi-Fan Shen et al.· 0 citations
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 shared experts. The former increases expressiveness by enabling more expert combinations at a fixed activation ratio, and...
Bingcong Li, Hao Ma, Michael Muehlebach et al.· 0 citations
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 features entangles scene dynamics with camera-induced variation, making the resulting state evolution harder to predict....
Hongchang Liu, Jian Liu, Yujuan Ding et al.· 0 citations
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 3D code, a coding harness for spatial reasoning and automated verification, and practical guidance for 3D coding. First,...
Yipeng Gao, Ziyao Zeng, Jinfa Huang et al.· 0 citations
How can robots autonomously collect the contact-rich experience needed to learn dexterous manipulation? We present DSP: Dexterity from supervised play, a framework in which a robot learns a play policy from minutes of human play through behavior cloning, then deploys it autonomously to collect hours of interaction data...
Botao He, Yiming Dou, Yiannis Aloimonos et al.· 0 citations
Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating a gap between the input distributions encountered during the editor's original tr...
Sara Dorfman, Nir Goren, Gal Barak et al.· 0 citations
This model combines two visual views: line plots preserve absolute measurements and the observed coordinate frame, while normalized delay embeddings factor out positive amplitude rescaling and offsets while exposing temporal structure.
Hedi Zisling, Liran Nochumsohn, Ilan Naiman et al.· 0 citations
