University of California, Los Angeles（加州大学洛杉矶分校）

LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training

Yiming Wang, Da Yin, Yuedong Cui, Ruichen Zheng, Zhiqian Li, Zongyu Lin, Di Wu, Xueqing Wu, Chenchen Ye, Yu Zhou, Kai-Wei Chang

机构 * UCLA（加州大学洛杉矶分校） ； Harvard University（哈佛大学） 纠错

Comments Preprint. Project page: https://ui-simulator.notion.site/llms-as-scalable-digital-world-simulator; Code and data: https://github.com/WadeYin9712/UI-Simulator

Sound Masking Strategies for Interference with Mosquito Hearing

Justin Faber, Alexandros C Alampounti, Marcos Georgiades, Joerg T Albert, Dolores Bozovic

机构 * Department of Physics \& Astronomy, University of California, Los Angeles, California, USA ； University College London Ear Institute: London, UK ； Cluster of Excellence Hearing4all, Sensory Physiology \& Behaviour Group, Department for Neuroscience, School of Medicine ； California NanoSystems Institute, University of California, Los Angeles, California, USA 纠错

Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion

Yuanhong Zeng, Anushri Dixit

机构 * Department of Electrical and Computer Engineering, University of California Los Angeles（加州大学洛杉矶分校电气与计算机工程系） ； Department of Mechanical and Aerospace Engineering, University of California Los Angeles（加州大学洛杉矶分校机械与航空航天工程系） 纠错

FFT-Accelerated Auxiliary Variable MCMC for Fermionic Lattice Models: A Determinant-Free Approach with $O(N\log N)$ Complexity

Deqian Kong, Shi Feng, Jianwen Xie, Ying Nian Wu

机构 * Department of Statistics and Data Science, UCLA（统计与数据科学系，加州大学洛杉矶分校） ； Department of Physics, TUM School of Natural Sciences, Technical University of Munich（物理系，技术大学慕尼黑自然科学院） ； Munich Center for Quantum Science and Technology（慕尼黑量子科学与技术中心） ； Lambda, Inc（Lambda公司） 纠错

Predictive Preference Learning from Human Interventions

Haoyuan Cai, Zhenghao Peng, Bolei Zhou

机构 * Department of Computer Science, University of California, Los Angeles（计算机科学系，加州大学洛杉矶分校） 纠错

Comments NeurIPS 2025 Spotlight. Project page: https://metadriverse.github.io/ppl