Kavli Affiliate: Mark Bowick | Summary:The self-propulsion of +1/2 topological defects is a hallmark of active nematic fluids, where the defects are advected by the flow field they themselves generate. In this paper we propose a minimal model for defect self-propulsion in a nematic active solid: a linear elastic medium with an embedded nematic texture […]
Kavli Affiliate: Vanessa Ruta | Authors: Andrew F. Siliciano, Sun Minni, Chad Morton, Charles K. Dowell, Noelle B. Eghbali, Juliana Y. Rhee, L. F. Abbott and Vanessa Ruta | Summary: Odors serve as essential cues for navigation. Although tracking an odor plume has been modeled as a reflexive process, it remains unclear whether animals can […]
Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: The CHIME/FRB Collaboration, :, Mandana Amiri, Daniel Amouyal, Bridget C. Andersen | Summary: We present the first catalog of fast radio burst (FRB) host galaxies from CHIME/FRB Outriggers, selected uniformly in the radio and the optical by localizing 81 new bursts to 2” x ~60” accuracy […]
Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Mandana Amiri, Daniel Amouyal, Bridget C. Andersen, Shion Andrew, Kevin Bandura | Summary: We present the first catalog of fast radio burst (FRB) host galaxies from CHIME/FRB Outriggers, selected uniformly in the radio and the optical by localizing 81 new bursts to 2” x ~60” accuracy […]
Kavli Affiliate: Toeno Van Der Sar | Summary:The global electronic properties of solid-state devices are strongly affected by the microscopic spatial paths of charge carriers. Visualising these paths in novel devices produced by scalable processes would provide a quality assessment method that can propel the device performance metrics towards commercial use. Here, we use high-resolution […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Tianchun Wang, , , | Summary: Large language model (LLM) scaling inference is key to unlocking greater performance, and leveraging diversity has proven an effective way to enhance it. Motivated by the observed relationship between solution accuracy and meaningful response diversity, we systematically study the […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen | Summary: While increasing training compute has significantly improved the performance of large language models (LLMs), similar gains have not been observed when scaling inference compute. We hypothesize that the primary issue lies in the uniformity of […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]