Search for a long-lived spin-0 mediator in $bto s$ transitions at the Belle II experiment

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, K. Adamczyk, L. Aggarwal, H. Aihara | Summary: Additional spin-0 particles appear in many extensions of the standard model. We search for long-lived spin-0 particles $S$ in $B$-meson decays mediated by a $bto s$ quark transition in $e^+e^-$ collisions at the $Upsilon(4S)$ […]


Continue.. Search for a long-lived spin-0 mediator in $bto s$ transitions at the Belle II experiment

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

Judging the difficulty of perceptual decisions

Kavli Affiliate: Michael Shadlen | Authors: Anne Löffler, Ariel Zylberberg, Michael N. Shadlen and Daniel M Wolpert | Summary: Deciding how difficult it is going to be to perform a task allows us to choose between tasks, allocate appropriate resources, and predict future performance. To be useful for planning, difficulty judgments should not require completion […]


Continue.. Judging the difficulty of perceptual decisions

Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation

Kavli Affiliate: Terrence Sejnowski | Authors: Nuttida Rungratsameetaweemana, Robert Kim, Thiparat Chotibut and Terrence Sejnowski | Summary: Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neurons perform cognitive tasks. Training such networks to perform tasks that require information maintenance over a brief […]


Continue.. Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation

A core in a star-forming disc as evidence of inside-out growth in the early Universe

Kavli Affiliate: Roberto Maiolino | First 5 Authors: William M. Baker, Sandro Tacchella, Benjamin D. Johnson, Erica Nelson, Katherine A. Suess | Summary: The physical processes that establish the morphological evolution and the structural diversity of galaxies are key unknowns in extragalactic astrophysics. Here we report the finding of the morphologically-mature galaxy JADES-GS+53.18343-27.79097, which existed […]


Continue.. A core in a star-forming disc as evidence of inside-out growth in the early Universe

JADES: The emergence and evolution of Ly$α$ emission and constraints on the IGM neutral fraction

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Gareth C. Jones, Andrew J. Bunker, Aayush Saxena, Joris Witstok, Daniel P. Stark | Summary: The rest-frame UV recombination emission line Ly$alpha$ can be powered by ionising photons from young massive stars in star forming galaxies, but its ability to be resonantly scattered by neutral gas complicates […]


Continue.. JADES: The emergence and evolution of Ly$α$ emission and constraints on the IGM neutral fraction