Zobrazeno 1 - 10
of 85 589
pro vyhledávání: '"Babak, A."'
Autor:
Rokhva, Shayan, Teimourpour, Babak
Integrating artificial intelligence into modern society is profoundly transformative, significantly enhancing productivity by streamlining various daily tasks. AI-driven recognition systems provide notable advantages in the food sector, including imp
Externí odkaz:
http://arxiv.org/abs/2410.02304
Transfer learning is an attractive framework for problems where there is a paucity of data, or where data collection is costly. One common approach to transfer learning is referred to as "model-based", and involves using a model that is pretrained on
Externí odkaz:
http://arxiv.org/abs/2410.02164
We study the problem of mixed $\mathit{H}_2/\mathit{H}_\infty$ control in the infinite-horizon setting. We identify the optimal causal controller that minimizes the $\mathit{H}_2$ cost of the closed-loop system subject to an $\mathit{H}_\infty$ const
Externí odkaz:
http://arxiv.org/abs/2409.20020
The 6d (2,0) theory of $N$ M5 branes compactified on the product geometry $T^2\times S$, where $S$ is a K\"ahler 4-manifold, can be studied in two different limits. In one limit, the size of $T^2$ is taken to zero and together with a topological twis
Externí odkaz:
http://arxiv.org/abs/2409.19397
In 1988, Erd\H{o}s suggested the question of minimizing the number of edges in a connected $n$-vertex graph where every edge is contained in a triangle. Shortly after, Catlin, Grossman, Hobbs, and Lai resolved this in a stronger form. In this paper,
Externí odkaz:
http://arxiv.org/abs/2409.11216
This paper introduces a novel framework combining LLM agents as proxies for human strategic behavior with reinforcement learning (RL) to engage these agents in evolving strategic interactions within team environments. Our approach extends traditional
Externí odkaz:
http://arxiv.org/abs/2409.10372
Autor:
Hajiani, Mohammad Ali, Seyfe, Babak
We propose a novel approach to select the best model of the data. Based on the exclusive properties of the nested models, we find the most parsimonious model containing the risk minimizer predictor. We prove the existence of probable approximately co
Externí odkaz:
http://arxiv.org/abs/2409.09674
Two relationships between the injective chromatic number and, respectively, chromatic number and chromatic index, are proved. They are applied to determine the injective chromatic number of Sierpi\'nski graphs and to give a short proof that Sierpi\'n
Externí odkaz:
http://arxiv.org/abs/2409.08856
Autor:
Ghasemlou, Shervin, Katiyar, Ashish, Saraf, Aparajita, Moon, Seungwhan, Pujari, Mangesh, Donmez, Pinar, Damavandi, Babak, Kumar, Anuj
In this paper, we investigate the problem of "generation supervision" in large language models, and present a novel bicameral architecture to separate supervision signals from their core capability, helpfulness. Doppelg\"anger, a new module parallel
Externí odkaz:
http://arxiv.org/abs/2409.06107
Autor:
Xue, Tengfei, Li, Xuefeng, Azim, Tahir, Smirnov, Roman, Yu, Jianhui, Sadrieh, Arash, Pahlavan, Babak
Large language models (LLMs) have significantly improved code generation, particularly in one-pass code generation. However, most existing approaches focus solely on generating code in a single programming language, overlooking the potential of lever
Externí odkaz:
http://arxiv.org/abs/2409.04114