Zobrazeno 1 - 10
of 83 631
pro vyhledávání: '"GLASS IS"'
Autor:
Mirza, M. Jehanzeb, Zhao, Mengjie, Mao, Zhuoyuan, Doveh, Sivan, Lin, Wei, Gavrikov, Paul, Dorkenwald, Michael, Yang, Shiqi, Jha, Saurav, Wakaki, Hiromi, Mitsufuji, Yuki, Possegger, Horst, Feris, Rogerio, Karlinsky, Leonid, Glass, James
In this work, we propose a novel method (GLOV) enabling Large Language Models (LLMs) to act as implicit Optimizers for Vision-Langugage Models (VLMs) to enhance downstream vision tasks. Our GLOV meta-prompts an LLM with the downstream task descriptio
Externí odkaz:
http://arxiv.org/abs/2410.06154
Autor:
Qi, Zhenting, Luo, Hongyin, Huang, Xuliang, Zhao, Zhuokai, Jiang, Yibo, Fan, Xiangjun, Lakkaraju, Himabindu, Glass, James
While large language models (LLMs) have shown exceptional capabilities in understanding complex queries and performing sophisticated tasks, their generalization abilities are often deeply entangled with memorization, necessitating more precise evalua
Externí odkaz:
http://arxiv.org/abs/2410.01769
Autor:
Wu, Haibin, Chen, Xuanjun, Lin, Yi-Cheng, Chang, Kaiwei, Du, Jiawei, Lu, Ke-Han, Liu, Alexander H., Chung, Ho-Lam, Wu, Yuan-Kuei, Yang, Dongchao, Liu, Songxiang, Wu, Yi-Chiao, Tan, Xu, Glass, James, Watanabe, Shinji, Lee, Hung-yi
Neural audio codec models are becoming increasingly important as they serve as tokenizers for audio, enabling efficient transmission or facilitating speech language modeling. The ideal neural audio codec should maintain content, paralinguistics, spea
Externí odkaz:
http://arxiv.org/abs/2409.14085
Autor:
Fraser, Wesley C., Porter, Simon B., Peltier, Lowell, Kavelaars, JJ, Verbiscer, Anne J., Buie, Marc W., Stern, S. Alan, Spencer, John R., Benecchi, Susan D., Terai, Tsuyoshi, Ito, Takashi, Yoshida, Fumi, Gerdes, David W., Napier, Kevin J., Lin, Hsing Wen, Gwyn, Stephen D. J., Smotherman, Hayden, Fabbro, Sebastien, Singer, Kelsi N., Alexander, Amanda M., Arimatsu, Ko, Banks, Maria E., Bray, Veronica J., El-Maarry, Mohamed Ramy, Ferrell, Chelsea L., Fuse, Tetsuharu, Glass, Florian, Holt, Timothy R., Hong, Peng, Ishimaru, Ryo, Johnson, Perianne E., Lauer, Tod R., Leiva, Rodrigo, Lykawka, Patryk S., Marschall, Raphael, Núñez, Jorge I., Postman, Marc, Quirico, Eric, Rhoden, Alyssa R., Simpson, Anna M., Schenk, Paul, Skrutskie, Michael F., Steffl, Andrew J., Throop, Henry
We report the detection of 239 trans-Neptunian Objects discovered through the on-going New Horizons survey for distant minor bodies being performed with the Hyper Suprime-Cam mosaic imager on the Subaru Telescope. These objects were discovered in ima
Externí odkaz:
http://arxiv.org/abs/2407.21142
Autor:
Darnet, M., Vedrine, S., Bretaudeau, F., Marc, S., Capar, L., Pwavodi, Joshua, Marquis, G., Montegud, A., Formento, J., Maurer, V., Glass, C., Delmais, E., Genter, A.
Publikováno v:
The Fourth EAGE Global Energy Transition Conference and Exhibition, Nov 2023, Paris, France. pp.1-5
A wide range of geophysical methods is used for the exploration of deep geothermal resources. It aimsat characterizing the deep fractured network and its capacity for fluid/heat extraction. This relieshowever on the capacity of geophysical techniques
Externí odkaz:
http://arxiv.org/abs/2407.10493
When asked to summarize articles or answer questions given a passage, large language models (LLMs) can hallucinate details and respond with unsubstantiated answers that are inaccurate with respect to the input context. This paper describes a simple a
Externí odkaz:
http://arxiv.org/abs/2407.07071
Autor:
Bhati, Saurabhchand, Gong, Yuan, Karlinsky, Leonid, Kuehne, Hilde, Feris, Rogerio, Glass, James
State-space models (SSMs) have emerged as an alternative to Transformers for audio modeling due to their high computational efficiency with long inputs. While recent efforts on Audio SSMs have reported encouraging results, two main limitations remain
Externí odkaz:
http://arxiv.org/abs/2407.04082
Autor:
Chen, Jintai, Hu, Yaojun, Wang, Yue, Lu, Yingzhou, Cao, Xu, Lin, Miao, Xu, Hongxia, Wu, Jian, Xiao, Cao, Sun, Jimeng, Glass, Lucas, Huang, Kexin, Zitnik, Marinka, Fu, Tianfan
Clinical trials are pivotal for developing new medical treatments, yet they typically pose some risks such as patient mortality, adverse events, and enrollment failure that waste immense efforts spanning over a decade. Applying artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2407.00631
Autor:
Wang, Liming, Gong, Yuan, Dawalatabad, Nauman, Vilela, Marco, Placek, Katerina, Tracey, Brian, Gong, Yishu, Premasiri, Alan, Vieira, Fernando, Glass, James
Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), a neural network-based automatic predic
Externí odkaz:
http://arxiv.org/abs/2406.18625
Autor:
Glass, Cheyne, Vidaurre, Elizabeth
Topological Data Analysis has grown in popularity in recent years as a way to apply tools from algebraic topology to large data sets. One of the main tools in topological data analysis is persistent homology. This paper uses undergraduate linear alge
Externí odkaz:
http://arxiv.org/abs/2406.17045