Zobrazeno 1 - 10
of 1 427
pro vyhledávání: '"Sravya P"'
Autor:
Zhong, Ming, Zhang, Aston, Wang, Xuewei, Hou, Rui, Xiong, Wenhan, Zhu, Chenguang, Chen, Zhengxing, Tan, Liang, Bi, Chloe, Lewis, Mike, Popuri, Sravya, Narang, Sharan, Kambadur, Melanie, Mahajan, Dhruv, Edunov, Sergey, Han, Jiawei, van der Maaten, Laurens
The development and evaluation of Large Language Models (LLMs) have largely focused on individual capabilities. However, this overlooks the intersection of multiple abilities across different types of expertise that are often required for real-world
Externí odkaz:
http://arxiv.org/abs/2409.19951
Autor:
Lee, Yejin, Sun, Anna, Hosmer, Basil, Acun, Bilge, Balioglu, Can, Wang, Changhan, Hernandez, Charles David, Puhrsch, Christian, Haziza, Daniel, Guessous, Driss, Massa, Francisco, Kahn, Jacob, Wan, Jeffrey, Reizenstein, Jeremy, Zhai, Jiaqi, Isaacson, Joe, Schlosser, Joel, Pino, Juan, Sadagopan, Kaushik Ram, Shamis, Leonid, Ma, Linjian, Hwang, Min-Jae, Chen, Mingda, Elhoushi, Mostafa, Rodriguez, Pedro, Pasunuru, Ram, Yih, Scott, Popuri, Sravya, Liu, Xing, Wu, Carole-Jean
Generative artificial intelligence (AI) technology is revolutionizing the computing industry. Not only its applications have broadened to various sectors but also poses new system design and optimization opportunities. The technology is capable of un
Externí odkaz:
http://arxiv.org/abs/2410.00215
Autor:
Huang, Chao-Wei, Lu, Hui, Gong, Hongyu, Inaguma, Hirofumi, Kulikov, Ilia, Mavlyutov, Ruslan, Popuri, Sravya
Large language models (LLMs), known for their exceptional reasoning capabilities, generalizability, and fluency across diverse domains, present a promising avenue for enhancing speech-related tasks. In this paper, we focus on integrating decoder-only
Externí odkaz:
http://arxiv.org/abs/2407.03169
Autor:
Peng, Yifan, Kulikov, Ilia, Yang, Yilin, Popuri, Sravya, Lu, Hui, Wang, Changhan, Gong, Hongyu
There have been emerging research interest and advances in speech-to-speech translation (S2ST), translating utterances from one language to another. This work proposes Multitask Speech Language Model (MSLM), which is a decoder-only speech language mo
Externí odkaz:
http://arxiv.org/abs/2403.12408
Autor:
Peng, Yifan, Kulikov, Ilia, Yang, Yilin, Popuri, Sravya, Lu, Hui, Wang, Changhan, Gong, Hongyu
Speech language models (LMs) are promising for high-quality speech synthesis through in-context learning. A typical speech LM takes discrete semantic units as content and a short utterance as prompt, and synthesizes speech which preserves the content
Externí odkaz:
http://arxiv.org/abs/2403.12402
Autor:
Nguyen, Tu Anh, Muller, Benjamin, Yu, Bokai, Costa-jussa, Marta R., Elbayad, Maha, Popuri, Sravya, Ropers, Christophe, Duquenne, Paul-Ambroise, Algayres, Robin, Mavlyutov, Ruslan, Gat, Itai, Williamson, Mary, Synnaeve, Gabriel, Pino, Juan, Sagot, Benoit, Dupoux, Emmanuel
We introduce Spirit LM, a foundation multimodal language model that freely mixes text and speech. Our model is based on a 7B pretrained text language model that we extend to the speech modality by continuously training it on text and speech units. Sp
Externí odkaz:
http://arxiv.org/abs/2402.05755
Autor:
Communication, Seamless, Barrault, Loïc, Chung, Yu-An, Meglioli, Mariano Coria, Dale, David, Dong, Ning, Duppenthaler, Mark, Duquenne, Paul-Ambroise, Ellis, Brian, Elsahar, Hady, Haaheim, Justin, Hoffman, John, Hwang, Min-Jae, Inaguma, Hirofumi, Klaiber, Christopher, Kulikov, Ilia, Li, Pengwei, Licht, Daniel, Maillard, Jean, Mavlyutov, Ruslan, Rakotoarison, Alice, Sadagopan, Kaushik Ram, Ramakrishnan, Abinesh, Tran, Tuan, Wenzek, Guillaume, Yang, Yilin, Ye, Ethan, Evtimov, Ivan, Fernandez, Pierre, Gao, Cynthia, Hansanti, Prangthip, Kalbassi, Elahe, Kallet, Amanda, Kozhevnikov, Artyom, Gonzalez, Gabriel Mejia, Roman, Robin San, Touret, Christophe, Wong, Corinne, Wood, Carleigh, Yu, Bokai, Andrews, Pierre, Balioglu, Can, Chen, Peng-Jen, Costa-jussà, Marta R., Elbayad, Maha, Gong, Hongyu, Guzmán, Francisco, Heffernan, Kevin, Jain, Somya, Kao, Justine, Lee, Ann, Ma, Xutai, Mourachko, Alex, Peloquin, Benjamin, Pino, Juan, Popuri, Sravya, Ropers, Christophe, Saleem, Safiyyah, Schwenk, Holger, Sun, Anna, Tomasello, Paden, Wang, Changhan, Wang, Jeff, Wang, Skyler, Williamson, Mary
Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this work, we introduce a family of models that enable end-to-end expressive
Externí odkaz:
http://arxiv.org/abs/2312.05187
Autor:
Sofia M. Kapetanaki, Nicolas Coquelle, David von Stetten, Martin Byrdin, Ronald Rios-Santacruz, Richard Bean, Johan Bielecki, Mohamed Boudjelida, Zsuzsana Fekete, Geoffrey W. Grime, Huijong Han, Caitlin Hatton, Sravya Kantamneni, Konstantin Kharitonov, Chan Kim, Marco Kloos, Faisal H. M. Koua, Iñaki de Diego Martinez, Diogo Melo, Lukas Rane, Adam Round, Ekaterina Round, Abhisakh Sarma, Robin Schubert, Joachim Schulz, Marcin Sikorski, Mohammad Vakili, Joana Valerio, Jovana Vitas, Raphael de Wijn, Agnieszka Wrona, Ninon Zala, Arwen Pearson, Katerina Dörner, Giorgio Schirò, Elspeth F. Garman, András Lukács, Martin Weik
Publikováno v:
IUCrJ, Vol 11, Iss 6, Pp 991-1006 (2024)
OaPAC is a recently discovered blue-light-using flavin adenosine dinucleotide (BLUF) photoactivated adenylate cyclase from the cyanobacterium Oscillatoria acuminata that uses adenosine triphosphate and translates the light signal into the production
Externí odkaz:
https://doaj.org/article/f5172cd8b2a24e84967c8f4cf03b38f8
Publikováno v:
Al Ameen Journal of Medical Sciences, Vol 17, Iss 04, Pp 313-317 (2024)
Aim: To study preoperative and post operative hemoglobin in patients with hypertensive disease of pregnancy under goining Cesarean Section. Methods: This is a retrospective study conducted in Al-Ameen Medical College, Hospital & research center Vijay
Externí odkaz:
https://doaj.org/article/255a8be1a5234ffdbb0dc726bc33b1a3
Autor:
Benjamin Schwartzmann, Raaj Chatterjee, Yasaman Vaghei, Lena C. Quilty, Timothy A. Allen, Stephen R. Arnott, Sravya Atluri, Pierre Blier, Prabhjot Dhami, Jane A. Foster, Benicio N. Frey, Stefan Kloiber, Raymond W. Lam, Roumen Milev, Daniel J. Müller, Claudio N. Soares, Chloe Stengel, Sagar V. Parikh, Gustavo Turecki, Rudolf Uher, Susan Rotzinger, Sidney H. Kennedy, Faranak Farzan
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Current pharmacological agents for depression have limited efficacy in achieving remission. Developing and validating new medications is challenging due to limited biological targets. This study aimed to link electrophysiological data and sy
Externí odkaz:
https://doaj.org/article/dc3afdb50ff84053bc8645b81ace4153