Zobrazeno 1 - 10
of 5 152
pro vyhledávání: '"Motwani A"'
Autor:
Motwani, Sumeet Ramesh, Smith, Chandler, Das, Rocktim Jyoti, Rybchuk, Markian, Torr, Philip H. S., Laptev, Ivan, Pizzati, Fabio, Clark, Ronald, de Witt, Christian Schroeder
Enabling effective collaboration among LLMs is a crucial step toward developing autonomous systems capable of solving complex problems. While LLMs are typically used as single-model generators, where humans critique and refine their outputs, the pote
Externí odkaz:
http://arxiv.org/abs/2412.01928
Autor:
Polyak, Adam, Zohar, Amit, Brown, Andrew, Tjandra, Andros, Sinha, Animesh, Lee, Ann, Vyas, Apoorv, Shi, Bowen, Ma, Chih-Yao, Chuang, Ching-Yao, Yan, David, Choudhary, Dhruv, Wang, Dingkang, Sethi, Geet, Pang, Guan, Ma, Haoyu, Misra, Ishan, Hou, Ji, Wang, Jialiang, Jagadeesh, Kiran, Li, Kunpeng, Zhang, Luxin, Singh, Mannat, Williamson, Mary, Le, Matt, Yu, Matthew, Singh, Mitesh Kumar, Zhang, Peizhao, Vajda, Peter, Duval, Quentin, Girdhar, Rohit, Sumbaly, Roshan, Rambhatla, Sai Saketh, Tsai, Sam, Azadi, Samaneh, Datta, Samyak, Chen, Sanyuan, Bell, Sean, Ramaswamy, Sharadh, Sheynin, Shelly, Bhattacharya, Siddharth, Motwani, Simran, Xu, Tao, Li, Tianhe, Hou, Tingbo, Hsu, Wei-Ning, Yin, Xi, Dai, Xiaoliang, Taigman, Yaniv, Luo, Yaqiao, Liu, Yen-Cheng, Wu, Yi-Chiao, Zhao, Yue, Kirstain, Yuval, He, Zecheng, He, Zijian, Pumarola, Albert, Thabet, Ali, Sanakoyeu, Artsiom, Mallya, Arun, Guo, Baishan, Araya, Boris, Kerr, Breena, Wood, Carleigh, Liu, Ce, Peng, Cen, Vengertsev, Dimitry, Schonfeld, Edgar, Blanchard, Elliot, Juefei-Xu, Felix, Nord, Fraylie, Liang, Jeff, Hoffman, John, Kohler, Jonas, Fire, Kaolin, Sivakumar, Karthik, Chen, Lawrence, Yu, Licheng, Gao, Luya, Georgopoulos, Markos, Moritz, Rashel, Sampson, Sara K., Li, Shikai, Parmeggiani, Simone, Fine, Steve, Fowler, Tara, Petrovic, Vladan, Du, Yuming
We present Movie Gen, a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. We also show additional capabilities such as precise instruction-based video editing and generation of
Externí odkaz:
http://arxiv.org/abs/2410.13720
Autor:
Zhang, Christina, Motwani, Simran, Yu, Matthew, Hou, Ji, Juefei-Xu, Felix, Tsai, Sam, Vajda, Peter, He, Zijian, Wang, Jialiang
Latent diffusion models (LDMs) have made significant advancements in the field of image generation in recent years. One major advantage of LDMs is their ability to operate in a compressed latent space, allowing for more efficient training and deploym
Externí odkaz:
http://arxiv.org/abs/2409.17565
Reinforcement learning has traditionally been studied with exponential discounting or the average reward setup, mainly due to their mathematical tractability. However, such frameworks fall short of accurately capturing human behavior, which has a bia
Externí odkaz:
http://arxiv.org/abs/2409.10583
Autor:
Hassan, Sultan, Ostriker, Eve C., Kim, Chang-Goo, Bryan, Greg L., Burger, Jan D., Fielding, Drummond B., Forbes, John C., Genel, Shy, Hernquist, Lars, Jeffreson, Sarah M. R., Motwani, Bhawna, Smith, Matthew C., Somerville, Rachel S., Steinwandel, Ulrich P., Teyssier, Romain
Traditional star formation subgrid models implemented in cosmological galaxy formation simulations, such as that of Springel & Hernquist (2003, hereafter SH03), employ adjustable parameters to satisfy constraints measured in the local Universe. In re
Externí odkaz:
http://arxiv.org/abs/2409.09121
Autor:
Putta, Pranav, Mills, Edmund, Garg, Naman, Motwani, Sumeet, Finn, Chelsea, Garg, Divyansh, Rafailov, Rafael
Large Language Models (LLMs) have shown remarkable capabilities in natural language tasks requiring complex reasoning, yet their application in agentic, multi-step reasoning within interactive environments remains a difficult challenge. Traditional s
Externí odkaz:
http://arxiv.org/abs/2408.07199
Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to analyze gene expression at the resolution of individual cells, providing unprecedented insights into cellular heterogeneity and complex biological systems. This paper reviews va
Externí odkaz:
http://arxiv.org/abs/2406.05258
Autor:
Draguns, Andis, Gritsevskiy, Andrew, Motwani, Sumeet Ramesh, Rogers-Smith, Charlie, Ladish, Jeffrey, de Witt, Christian Schroeder
The rapid proliferation of open-source language models significantly increases the risks of downstream backdoor attacks. These backdoors can introduce dangerous behaviours during model deployment and can evade detection by conventional cybersecurity
Externí odkaz:
http://arxiv.org/abs/2406.02619
Autor:
Motwani, Sumeet Ramesh, Baranchuk, Mikhail, Strohmeier, Martin, Bolina, Vijay, Torr, Philip H. S., Hammond, Lewis, de Witt, Christian Schroeder
Recent capability increases in large language models (LLMs) open up applications in which groups of communicating generative AI agents solve joint tasks. This poses privacy and security challenges concerning the unauthorised sharing of information, o
Externí odkaz:
http://arxiv.org/abs/2402.07510
Autor:
Motwani, Jyoti, Katatria, Aakanksha
Publikováno v:
International Journal of Productivity and Performance Management, 2024, Vol. 73, Issue 9, pp. 2709-2754.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPPM-07-2023-0383
