The Spectroscopic Stage-5 Experiment

Kavli Affiliate: Joshua Frieman | First 5 Authors: Robert Besuner, Arjun Dey, Alex Drlica-Wagner, Haruki Ebina, Guillermo Fernandez Moroni | Summary: Observational cosmology has provided an extraordinary perspective on our universe and our place within it. However, as our understanding of the universe has increased, some glaring holes in our knowledge have become apparent: What […]


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Direct Detection of Ultralight Dark Matter via Charged Lepton Flavor Violation

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Innes Bigaran, Patrick J. Fox, Yann Gouttenoire, Roni Harnik, Gordan Krnjaic | Summary: We propose a dark matter direct-detection strategy using charged particle decays at accelerator-based experiments. If ultralight $(m_phi ll text{eV})$ dark matter has a misalignment abundance, its local field oscillates in time at a frequency […]


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SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle | Summary: We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and spoken across various continents. The data instances […]


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Searching for Exotic Interactions between Antimatter

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Lei Cong, Filip Ficek, Pavel Fadeev, Yevgeny V. Stadnik, Dmitry Budker | Summary: We show that atomic antimatter spectroscopy can be used to search for new bosons that carry spin-dependent exotic forces between antifermions. A comparison of a recent precise measurement of the hyperfine splitting of […]


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Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Yi Zhou, Tao Zhou, , | Summary: Incremental learning (IL) aims to overcome catastrophic forgetting of previous tasks while learning new ones. Existing IL methods make strong assumptions that the incoming task type will either only increases new classes or domains (i.e. Class IL, Domain […]


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Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Chenyin Gao, Xiang Zhang, Shu Yang, , | Summary: Externally controlled trials are crucial in clinical development when randomized controlled trials are unethical or impractical. These trials consist of a full treatment arm with the experimental treatment and a full external control arm. However, they present significant […]


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AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU

Kavli Affiliate: Ke Wang | First 5 Authors: Zhuowen Zheng, Yain-Whar Si, Xiaochen Yuan, Junwei Duan, Ke Wang | Summary: Nowadays, with the advancement of deep neural networks (DNNs) and the availability of large-scale datasets, the face recognition (FR) model has achieved exceptional performance. However, since the parameter magnitude of the fully connected (FC) layer […]


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