Zobrazeno 1 - 10
of 47 456
pro vyhledávání: '"Joy, P."'
Gender diversity enhances research by bringing diverse perspectives and innovative approaches. It ensures equitable solutions that address the needs of diverse populations. However, gender disparity persists in research where women remain underrepres
Externí odkaz:
http://arxiv.org/abs/2412.15661
Autor:
van Wijk, Thijs G. I., Melan, E. Aylin, Joy, Rani Mary, Guillaume, Emerick Y., Pobedinskas, Paulius, Haenen, Ken, Vanpoucke, Danny E. P.
Color centers in diamond, such as the GeV center, are promising candidates for quantum-based applications. Here, we investigate the impact of strain on the zero-phonon line (ZPL) position of GeV$^0$. Both hydrostatic and linear strain are modeled usi
Externí odkaz:
http://arxiv.org/abs/2412.14321
Autor:
Tanaka, Takumi S., Silverman, John D., Shimasaku, Kazuhiro, Arita, Junya, Akins, Hollis B., Inayoshi, Kohei, Ding, Xuheng, Onoue, Masafusa, Liu, Zhaoxuan, Casey, Caitlin M., Lambrides, Erini, Kokorev, Vasily, Jin, Shuowen, Faisst, Andreas L., Drakos, Nicole, Shen, Yue, Li, Junyao, Zhuang, Mingyang, Fei, Qinyue, Ito, Kei, Ren, Wenke, Matsui, Suin, Ando, Makoto, Hatano, Shun, Fujii, Michiko S., Kartaltepe, Jeyhan S., Koekemoer, Anton M., Liu, Daizhong, McCracken, Henry Joy, Rhodes, Jason, Robertson, Brant E., Franco, Maximilien, Andika, Irham T., Cloonan, Aidan P., Fan, Xiaohui, Gozaliasl, Ghassem, Harish, Santosh, Hayward, Christopher C., Huertas-Company, Marc, Kakkad, Darshan, Kinugawa, Tomoya, Roy, Namrata, Shuntov, Marko, Talia, Margherita, Toft, Sune, Vijayan, Aswin P., Zhang, Yiyang
``Little Red Dots'' (LRDs) are an abundant high-redshift population newly discovered by the James Webb Space Telescope (JWST). They are characterized by a red color in the rest-frame optical band, compact morphology, and broad Balmer emission lines (
Externí odkaz:
http://arxiv.org/abs/2412.14246
Deformation of material lines drives transport and dissipation in many industrial and natural flows. Here we report an exact Eulerian formula for the stretching rate of a material line, also known as the topological entropy, in a prototype two-dimens
Externí odkaz:
http://arxiv.org/abs/2412.08996
Autor:
Costa-jussà, Marta R., Chen, Joy, Adebara, Ifeoluwanimi, Chuang, Joe, Ropers, Christophe, Sánchez, Eduardo
The purpose of this work is to share an English-Yor\`ub\'a evaluation dataset for open-book reading comprehension and text generation to assess the performance of models both in a high- and a low- resource language. The dataset contains 358 questions
Externí odkaz:
http://arxiv.org/abs/2412.08279
Autor:
Costa-jussà, Marta R., Andrews, Pierre, Meglioli, Mariano Coria, Chen, Joy, Chuang, Joe, Dale, David, Ropers, Christophe, Mourachko, Alexandre, Sánchez, Eduardo, Schwenk, Holger, Tran, Tuan, Turkatenko, Arina, Wood, Carleigh
This paper presents the Long Context and Form Output (LCFO) benchmark, a novel evaluation framework for assessing gradual summarization and summary expansion capabilities across diverse domains. LCFO consists of long input documents (5k words average
Externí odkaz:
http://arxiv.org/abs/2412.08268
Large language models (LLMs) like ChatGPT have shown the potential to assist developers with coding and debugging tasks. However, their role in collaborative issue resolution is underexplored. In this study, we analyzed 1,152 Developer-ChatGPT conver
Externí odkaz:
http://arxiv.org/abs/2412.06757
This study aims to understand the factors that resulted in under-five children's malnutrition from the Multiple Indicator Cluster (MICS-2019) nationwide surveys and classify different malnutrition stages based on the four well-established machine lea
Externí odkaz:
http://arxiv.org/abs/2412.05813
As a novel virus, COVID introduced considerable uncertainty into the daily lives of people all over the globe since late 2019. Relying on twenty-three semi-structured interviews with parents whose children contracted COVID, we analyzed how the use of
Externí odkaz:
http://arxiv.org/abs/2412.05181
Autor:
Dhar, Joy, Zaidi, Nayyar, Haghighat, Maryam, Goyal, Puneet, Roy, Sudipta, Alavi, Azadeh, Kumar, Vikas
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision WACV 2025
Multimodal fusion learning has shown significant promise in classifying various diseases such as skin cancer and brain tumors. However, existing methods face three key limitations. First, they often lack generalizability to other diagnosis tasks due
Externí odkaz:
http://arxiv.org/abs/2412.01248