Tootfinder

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Tony Zhang, Michelle Wu, Sam R. Cohen, Lin Xin, Debadri Das, Kevin K. S. Multani, Nolan Peard, Anne-Marie Valente-Feliciano, Paul B. Welander, Amir H. Safavi-Naeini, Emilio A. Nanni, Monika Schleier-Smith
https://arxiv…

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Cavity quantum electrodynamics (QED) is a powerful tool in quantum science, enabling preparation of non-classical states of light and scalable entanglement of many atoms coupled to a single field mode. While the most coherent atom-photon interactions have been achieved using superconducting millimeter-wave cavities coupled to Rydberg atoms, these platforms so far lack the optical access required for trapping and addressing individual atomic qubits. We present a millimeter-wave Fabry-Pérot cavi…

Audio-Aware Large Language Models as Judges for Speaking Styles
Cheng-Han Chiang, Xiaofei Wang, Chung-Ching Lin, Kevin Lin, Linjie Li, Radu Kopetz, Yao Qian, Zhendong Wang, Zhengyuan Yang, Hung-yi Lee, Lijuan Wang
https://arxiv.org/abs/2506.05984

Audio-Aware Large Language Models as Judges for Speaking Styles
Audio-aware large language models (ALLMs) can understand the textual and non-textual information in the audio input. In this paper, we explore using ALLMs as an automatic judge to assess the speaking styles of speeches. We use ALLM judges to evaluate the speeches generated by SLMs on two tasks: voice style instruction following and role-playing. The speaking style we consider includes emotion, volume, speaking pace, word emphasis, pitch control, and non-verbal elements. We use four spoken langu…