Kavli Affiliate: Scott K. Cushing | First 5 Authors: Nathan A. Harper, Emily Y. Hwang, Ryoto Sekine, Luis Ledezma, Christian Perez | Summary: Efficient on-chip entangled photon pair generation at telecom wavelengths is an integral aspect of emerging quantum optical technologies, particularly for quantum communication and computing. However, moving to shorter wavelengths enables the use […]
Kavli Affiliate: Chiara Daraio | First 5 Authors: Christopher Chong, Brian Kim, Evelyn Wallace, Chiara Daraio, | Summary: We demonstrate the existence of wavenumber bandgap (q-gap) breathers in a time-periodic phononic lattice. These breathers are localized in time and periodic in space, and are the counterparts to the classical breathers found in spatially-periodic systems. We […]
Kavli Affiliate: Chiara Daraio | First 5 Authors: Christopher Chong, Brian Kim, Evelyn Wallace, Chiara Daraio, | Summary: We demonstrate the existence of wavenumber bandgap (q-gap) breathers in a time-periodic phononic lattice. These breathers are localized in time and periodic in space, and are the counterparts to the classical breathers found in spatially-periodic systems. We […]
Kavli Affiliate: Lihong Wang | First 5 Authors: Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang | Summary: Multi-Modal Entity Alignment (MMEA) is a critical task that aims to identify equivalent entity pairs across multi-modal knowledge graphs (MMKGs). However, this task faces challenges due to the presence of different types of information, including […]
Kavli Affiliate: Oskar Painter | First 5 Authors: Mo Chen, John Clai Owens, Harald Putterman, Max Schäfer, Oskar Painter | Summary: Noise within solid-state systems at low temperatures, where many of the degrees of freedom of the host material are frozen out, can typically be traced back to material defects that support low-energy excitations. These […]
Kavli Affiliate: Austin J. Minnich | First 5 Authors: Benjamin Hatanpää, Austin J. Minnich, , , | Summary: Ab-initio calculations of charge transport properties in materials without adjustable parameters have provided microscopic insights into electron-phonon interactions which govern charge transport properties. Other transport properties such as the diffusion coefficient provide additional microscopic information and are […]
Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Wei Gao, , , | Summary: While large pre-trained language models (LLMs) have shown their impressive capabilities in various NLP tasks, they are still under-explored in the misinformation domain. In this paper, we examine LLMs with in-context learning (ICL) for news claim verification, and find […]
Kavli Affiliate: James Bock | First 5 Authors: Grigory Heaton, Walter Cook, James Bock, Jill Burnham, Sam Condon | Summary: Intensity mapping observations measure galaxy clustering fluctuations from spectral-spatial maps, requiring stable noise properties on large angular scales. We have developed specialized readouts and analysis methods for achieving large-scale noise stability with Teledyne 2048$times$2048 H2RG […]
Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]
Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Hanyun Yin, Heng Huang, Wei Gao, | Summary: Fine-tuning is the most effective way of adapting pre-trained large language models (LLMs) to downstream applications. With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but […]