Zobrazeno 1 - 10
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pro vyhledávání: '"Seraj, A."'
Automatic evaluation by large language models (LLMs) is a prominent topic today; however, judgment and evaluation tasks are often subjective and influenced by various factors, making adaptation challenging. While many studies demonstrate the capabili
Externí odkaz:
http://arxiv.org/abs/2412.07429
Autor:
Khan, Redwan Ibne Seraj, Jain, Kunal, Shen, Haiying, Mallick, Ankur, Parayil, Anjaly, Kulkarni, Anoop, Kofsky, Steve, Choudhary, Pankhuri, Amant, Renèe St., Wang, Rujia, Cheng, Yue, Butt, Ali R., Rühle, Victor, Bansal, Chetan, Rajmohan, Saravan
In a multi-tenant large language model (LLM) serving platform hosting diverse applications, some users may submit an excessive number of requests, causing the service to become unavailable to other users and creating unfairness. Existing fairness app
Externí odkaz:
http://arxiv.org/abs/2411.15997
Autor:
Park, Jeongbin, Mangano, Marco, Seraj, Sabet, Pacini, Bernardo, Liao, Yingqian, Knight, Bradford G., Naik, Kartik, Maki, Kevin J., Martins, Joaquim R. R. A., Sun, Jing, Pan, Yulin
Ducted hydrokinetic turbines enhance energy-harvesting efficiency by better conditioning the flow to the blades, which may yield higher power output than conventional freestream turbines for the same reference area. In this work, we present a ducted
Externí odkaz:
http://arxiv.org/abs/2411.13492
Autor:
Seraj, Fatjon
Infrastructure maintenance is inherently complex, especially for widely dispersed transport systems like roads and railroads. Maintaining this infrastructure involves multiple partners working together to ensure safe, efficient upkeep that meets tech
Externí odkaz:
http://arxiv.org/abs/2410.20431
Autor:
Ghasemi, Seraj, Hosseini, Hamed, Koosheshi, MohammadHossein, Masouleh, Mehdi Tale, Kalhor, Ahmad
With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focuses on scene understanding to detect pick and place tasks given initial
Externí odkaz:
http://arxiv.org/abs/2409.17720
Autor:
Faye, Guillaume, Seraj, Ali
Gravitational waves cause a precession in a freely falling spinning object and a net change of orientation after the passage of the wave, dubbed as the gyroscopic memory. In this paper, we will consider isolated gravitational sources in the post-Newt
Externí odkaz:
http://arxiv.org/abs/2409.02624
Autor:
Mostafa, Seraj Al Mahmud, Faruque, Omar, Wang, Chenxi, Yue, Jia, Purushotham, Sanjay, Wang, Jianwu
Atmospheric gravity waves occur in the Earths atmosphere caused by an interplay between gravity and buoyancy forces. These waves have profound impacts on various aspects of the atmosphere, including the patterns of precipitation, cloud formation, ozo
Externí odkaz:
http://arxiv.org/abs/2408.14674
Autor:
Seraj, Yasaman, Fadaei, Soheil, Safaei, Bardia, Javadi, Ali, Monazzah, Amir Mahdi Hosseini, Hemmatyar, Ali Mohammad Afshin
Fog computing is essentially the expansion of cloud computing towards the network edge, reducing user access time to computing resources and services. Various advantages attribute to fog computing, including reduced latency, and improved user experie
Externí odkaz:
http://arxiv.org/abs/2408.14218
The integration of Transparent Displays (TD) in various applications, such as Heads-Up Displays (HUDs) in vehicles, is a burgeoning field, poised to revolutionize user experiences. However, this innovation brings forth significant challenges in realt
Externí odkaz:
http://arxiv.org/abs/2406.18595
Discovering an informative, or agent-centric, state representation that encodes only the relevant information while discarding the irrelevant is a key challenge towards scaling reinforcement learning algorithms and efficiently applying them to downst
Externí odkaz:
http://arxiv.org/abs/2404.14552