Mode-locked laser in nanophotonic lithium niobate

Kavli Affiliate: Alireza Marandi | First 5 Authors: Qiushi Guo, Ryoto Sekine, James A. Williams, Benjamin K. Gutierrez, Robert M. Gray | Summary: Mode-locked lasers (MLLs) have enabled ultrafast sciences and technologies by generating ultrashort pulses with peak powers substantially exceeding their average powers. Recently, tremendous efforts have been focused on realizing integrated MLLs not […]


Continue.. Mode-locked laser in nanophotonic lithium niobate

Effects of local incompressibility on the rheology of composite biopolymer networks

Kavli Affiliate: Gijsje H. Koenderink | First 5 Authors: Anupama Gannavarapu, Sadjad Arzash, Iain Muntz, Jordan L. Shivers, Anna-Maria Klianeva | Summary: Fibrous networks such as collagen are common in biological systems. Recent theoretical and experimental efforts have shed light on the mechanics of single component networks. Most real biopolymer networks, however, are composites made […]


Continue.. Effects of local incompressibility on the rheology of composite biopolymer networks

Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Kavli Affiliate: Joel E. Moore | First 5 Authors: Prabudhya Bhattacharyya, Wuhao Chen, Xiaoli Huang, Shubhayu Chatterjee, Benchen Huang | Summary: By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime represents an exciting frontier, where recent discoveries include novel high-temperature superconductors, […]


Continue.. Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang | Summary: Significant progress has been achieved in multi-object tracking (MOT) through the evolution of detection and re-identification (ReID) techniques. Despite these advancements, accurately tracking objects in scenarios with homogeneous appearance and heterogeneous motion remains a challenge. […]


Continue.. MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to underline{Pro}mpt pre-trained language models (PLMs) underline{To} be underline{Co}nsistent, for improving the factuality assessment […]


Continue.. Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to underline{Pro}mpt pre-trained language models (PLMs) underline{To} be underline{Co}nsistent, for improving the factuality assessment […]


Continue.. Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Manipulating chiral-spin transport with ferroelectric polarization

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Xiaoxi Huang, Xianzhe Chen, Yuhang Li, John Mangeri, Hongrui Zhang | Summary: A collective excitation of the spin structure in a magnetic insulator can transmit spin-angular momentum with negligible dissipation. This quantum of a spin wave, introduced more than nine decades ago, has always been manipulated […]


Continue.. Manipulating chiral-spin transport with ferroelectric polarization

Exchange bias between van der Waals materials: tilted magnetic states and field-free spin-orbit-torque switching

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Thow Min Jerald Cham, Reiley J. Dorrian, Xiyue S. Zhang, Avalon H. Dismukes, Daniel G. Chica | Summary: Magnetic van der Waals heterostructures provide a unique platform to study magnetism and spintronics device concepts in the two-dimensional limit. Here, we report studies of exchange bias from […]


Continue.. Exchange bias between van der Waals materials: tilted magnetic states and field-free spin-orbit-torque switching