Zobrazeno 1 - 10
of 5 684
pro vyhledávání: '"Nee, P"'
We study the coupling of axions to gauge bosons in heterotic string theory. The axion-gauge boson couplings in the low energy 4d theory are derived by matching mixed anomalies between higher-form global symmetries and the zero-form gauge symmetry in
Externí odkaz:
http://arxiv.org/abs/2410.03820
Autor:
Friedman, Ray, Cho, Jaewoo, Brett, Jeanne, Zhan, Xuhui, Han, Ningyu, Kannan, Sriram, Ma, Yingxiang, Spencer-Smith, Jesse, Jäckel, Elisabeth, Zerres, Alfred, Hooper, Madison, Babbit, Katie, Acharya, Manish, Adair, Wendi, Aslani, Soroush, Aykaç, Tayfun, Bauman, Chris, Bennett, Rebecca, Brady, Garrett, Briggs, Peggy, Dowie, Cheryl, Eck, Chase, Geiger, Igmar, Jacob, Frank, Kern, Molly, Lee, Sujin, Liu, Leigh Anne, Liu, Wu, Loewenstein, Jeffrey, Lytle, Anne, Ma, Li, Mann, Michel, Mislin, Alexandra, Mitchell, Tyree, Nagler, Hannah Martensen née, Nandkeolyar, Amit, Olekalns, Mara, Paliakova, Elena, Parlamis, Jennifer, Pierce, Jason, Pierce, Nancy, Pinkley, Robin, Prime, Nathalie, Ramirez-Marin, Jimena, Rockmann, Kevin, Ross, William, Semnani-Azad, Zhaleh, Schroeder, Juliana, Smith, Philip, Stimmer, Elena, Swaab, Roderick, Thompson, Leigh, Tinsley, Cathy, Tuncel, Ece, Weingart, Laurie, Wilken, Robert, Yao, JingJing, Zhang, Zhi-Xue
In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLMs in negotiation transcript analysis by the Vanderbilt AI Negotiation
Externí odkaz:
http://arxiv.org/abs/2407.21037
Recent efforts to numerically simulate compact objects in alternative theories of gravity have largely focused on the time-evolution equations. Another critical aspect is the construction of constraint-satisfying initial data with precise control ove
Externí odkaz:
http://arxiv.org/abs/2406.08410
Source-Free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to a target domain using only unlabeled target data. Current SFDA methods face challenges in effectively leveraging pre-trained knowledge and exploiting target domain data.
Externí odkaz:
http://arxiv.org/abs/2405.18376
Autism Spectrum Disorder (ASD) presents significant challenges in early diagnosis and intervention, impacting children and their families. With prevalence rates rising, there is a critical need for accessible and efficient screening tools. Leveraging
Externí odkaz:
http://arxiv.org/abs/2404.05849
Private information retrieval (PIR), a privacy-preserving cryptographic tool, solves a simplified version of this problem by hiding the database item that a client accesses. Most PIR protocols require the client to know the exact row index of the int
Externí odkaz:
http://arxiv.org/abs/2403.13296
Generative models have shown promising results in capturing human mobility characteristics and generating synthetic trajectories. However, it remains challenging to ensure that the generated geospatial mobility data is semantically realistic, includi
Externí odkaz:
http://arxiv.org/abs/2402.03264
We revisit the electroweak phase transition in the scalar singlet extension of the standard model with a $\mathbb{Z}_2$ symmetry. In significant parts of the parameter space the phase transition occurs in two steps - including canonical benchmarks us
Externí odkaz:
http://arxiv.org/abs/2312.06749
Autor:
Ranno, Luigi, Tan, Yong Zen, Ong, Chi Siang, Guo, Xin, Koo, Khong Nee, Li, Xiang, Wang, Wanjun, Serna, Samuel, Liu, Chongyang, Rusli, Littlejohns, Callum G., Reed, Graham T., Hu, Juejun, Wang, Hong, Sia, Jia Xu Brian
Lead (Pb2+) toxification in society is one of the most concerning public health crisis that remains unaddressed. The exposure to Pb2+ poisoning leads to a multitude of enduring health issues, even at the part-per-billion scale (ppb). Yet, public acti
Externí odkaz:
http://arxiv.org/abs/2311.07581
Autor:
Lai, Zhengfeng, Zhang, Haotian, Zhang, Bowen, Wu, Wentao, Bai, Haoping, Timofeev, Aleksei, Du, Xianzhi, Gan, Zhe, Shan, Jiulong, Chuah, Chen-Nee, Yang, Yinfei, Cao, Meng
Large-scale web-crawled datasets are fundamental for the success of pre-training vision-language models, such as CLIP. However, the inherent noise and potential irrelevance of web-crawled AltTexts pose challenges in achieving precise image-text align
Externí odkaz:
http://arxiv.org/abs/2310.07699