Kavli Affiliate: Eli S. Rykoff | First 5 Authors: Yuanyuan Zhang, Yuanyuan Zhang, , , | Summary: We investigate a splashback-like feature in the outer region of central galaxies (CGs) in clusters. This feature is detected as a "dip" in the radial slope of the CG surface brightness, derived through the stacking of Dark Energy […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Julia Wei, Julia Wei, , , | Summary: Measuring universal data in the strongly correlated regime of quantum critical points remains a fundamental objective for quantum simulators. In foundational work, Calabrese and Cardy demonstrated how this data governs the dynamics of certain global quenches to 1+1-dimensional […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: The growing capabilities of large language models and multimodal systems have spurred interest in voice-first AI assistants, yet existing benchmarks are inadequate for evaluating the full range of these systems’ capabilities. We introduce VoiceAssistant-Eval, a comprehensive benchmark designed to […]
Kavli Affiliate: Ke Wang | First 5 Authors: Zimu Lu, Zimu Lu, , , | Summary: Agent systems powered by large language models (LLMs) have demonstrated impressive performance on repository-level code-generation tasks. However, for tasks such as website codebase generation, which depend heavily on visual effects and user-interaction feedback, current code agents rely only on […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuan Xu, Yuan Xu, , , | Summary: Imitation learning based policies perform well in robotic manipulation, but they often degrade under *egocentric viewpoint shifts* when trained from a single egocentric viewpoint. To address this issue, we present **EgoDemoGen**, a framework that generates *paired* novel egocentric demonstrations […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Zhehao Dong, Zhehao Dong, , , | Summary: Vision-language-action (VLA) models increasingly rely on diverse training data to achieve robust generalization. However, collecting large-scale real-world robot manipulation data across varied object appearances and environmental conditions remains prohibitively time-consuming and expensive. To overcome this bottleneck, we propose Embodied […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Jun He, Jun He, , , | Summary: Urban development impacts over half of the global population, making human-centered understanding of its structural and perceptual changes essential for sustainable development. While Multimodal Large Language Models (MLLMs) have shown remarkable capabilities across various domains, existing benchmarks that explore […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Haoyun Li, Haoyun Li, , , | Summary: Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting embodied robot interaction data remains prohibitively expensive. In contrast, human demonstration videos are far more scalable and cost-efficient to collect, and recent studies confirm […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Haoyun Li, Haoyun Li, , , | Summary: Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting embodied robot interaction data remains prohibitively expensive. In contrast, human demonstration videos are far more scalable and cost-efficient to collect, and recent studies confirm […]
Kavli Affiliate: Jing Wang | First 5 Authors: Hua Yuan, Hua Yuan, , , | Summary: Parameter transfer is a central paradigm in transfer learning, enabling knowledge reuse across tasks and domains by sharing model parameters between upstream and downstream models. However, when only a subset of parameters from the upstream model is transferred to […]