Zobrazeno 1 - 10
of 621 704
pro vyhledávání: '"Yoon, As"'
To tackle the AVeriTeC shared task hosted by the FEVER-24, we introduce a system that only employs publicly available large language models (LLMs) for each step of automated fact-checking, dubbed the Herd of Open LLMs for verifying real-world claims
Externí odkaz:
http://arxiv.org/abs/2410.12377
Novel view synthesis (NVS) aims to generate images at arbitrary viewpoints using multi-view images, and recent insights from neural radiance fields (NeRF) have contributed to remarkable improvements. Recently, studies on generalizable NeRF (G-NeRF) h
Externí odkaz:
http://arxiv.org/abs/2410.00672
Autor:
Paudel, Sanjaya, Sabiu, Cristiano G., Yoon, Suk-Jin, Duc, Pierre-Alain, Yoo, Jaewon, Müller, Oliver
We report the discovery of a rare isolated group of five dwarf galaxies located at z = 0.0086 ($D$ = 36 Mpc). All member galaxies are star-forming, blue, and gas-rich with $g-r$ indices ranging from 0.2 to 0.6 mag, and two of them show signs of ongoi
Externí odkaz:
http://arxiv.org/abs/2411.10045
Autor:
Salas, León, Liska, Matthew, Markoff, Sera, Chatterjee, Koushik, Musoke, Gibwa, Porth, Oliver, Ripperda, Bart, Yoon, Doosoo, Mulaudzi, Wanga
The Event Horizon Telescope Collaboration (EHTC) observed the Galactic centre source Sgr A* and used emission models primarily based on single ion temperature (1T) general relativistic magnetohydrodynamic (GRMHD) simulations. This predicted emission
Externí odkaz:
http://arxiv.org/abs/2411.09556
We present and discuss two catalogues of UV-selected (NUV $< 22.8$ mag) galaxies that lie within a 200 deg$^2$ area of sky covered by the ASKAP FLASH survey and have an impact parameter of less than 20 arcsec to a FLASH radio continuum source. These
Externí odkaz:
http://arxiv.org/abs/2411.09443
Autor:
Pham, Thang M., Nguyen, Phat T., Yoon, Seunghyun, Lai, Viet Dac, Dernoncourt, Franck, Bui, Trung
While small language models (SLMs) show promises for mobile deployment, their real-world performance and applications on smartphones remains underexplored. We present SlimLM, a series of SLMs optimized for document assistance tasks on mobile devices.
Externí odkaz:
http://arxiv.org/abs/2411.09944
Autor:
Tee, Joshua Tian Jin, Zhang, Kang, Yoon, Hee Suk, Gowda, Dhananjaya Nagaraja, Kim, Chanwoo, Yoo, Chang D.
Diffusion models have recently emerged as a potent tool in generative modeling. However, their inherent iterative nature often results in sluggish image generation due to the requirement for multiple model evaluations. Recent progress has unveiled th
Externí odkaz:
http://arxiv.org/abs/2411.08378
Machine learning (ML) models are valuable tools for analyzing the impact of technology using patent citation information. However, existing ML-based methods often struggle to account for the dynamic nature of the technology impact over time and the i
Externí odkaz:
http://arxiv.org/abs/2411.09184
Autor:
Han, Cheongho, Udalski, Andrzej, Bond, Ian A., Lee, Chung-Uk, Gould, Andrew, Albrow, Michael D., Chung, Sun-Ju, Hwang, Kyu-Ha, Jung, Youn Kil, Ryu, Yoon-Hyun, Shvartzvald, Yossi, Shin, In-Gu, Yee, Jennifer C., Yang, Hongjing, Zang, Weicheng, Cha, Sang-Mok, Kim, Doeon, Kim, Dong-Jin, Kim, Seung-Lee, Lee, Dong-Joo, Lee, Yongseok, Park, Byeong-Gon, Pogge, Richard W., Mróz, Przemek, Szymański, Michał K., Skowron, Jan, Poleski, Radosław, Soszyński, Igor, Pietrukowicz, Paweł, Kozłowski, Szymon, Rybicki, Krzysztof A., Iwanek, Patryk, Ulaczyk, Krzysztof, Wrona, Marcin, Gromadzki, Mariusz, Mróz, Mateusz J., Abe, Fumio, Barry, Richard, Bennett, David P., Bhattacharya, Aparna, Fujii, Hirosame, Fukui, Akihiko, Hamada, Ryusei, Hirao, Yuki, Silva, Stela Ishitani, Itow, Yoshitaka, Kirikawa, Rintaro, Koshimoto, Naoki, Matsubara, Yutaka, Miyazaki, Shota, Muraki, Yasushi, Olmschenk, Greg, Ranc, Clément, Rattenbury, Nicholas J., Satoh, Yuki, Sumi, Takahiro, Suzuki, Daisuke, Tomoyoshi, Mio, Tristram, Paul J., Vandorou, Aikaterini, Yama, Hibiki, Yamashita, Kansuke
We carried out a project involving the systematic analysis of microlensing data from the Korea Microlensing Telescope Network survey. The aim of this project is to identify lensing events with complex anomaly features that are difficult to explain us
Externí odkaz:
http://arxiv.org/abs/2411.09096
Long-tailed image recognition is a computer vision problem considering a real-world class distribution rather than an artificial uniform. Existing methods typically detour the problem by i) adjusting a loss function, ii) decoupling classifier learnin
Externí odkaz:
http://arxiv.org/abs/2411.07621