Zobrazeno 1 - 10
of 48 104
pro vyhledávání: '"A. Sadat"'
Autor:
Dehghani, Amir, Kim, J. Leo, Hosseini, Dorsa Sadat, Krolewski, Alex, Mukherjee, Suvodip, Geshnizjani, Ghazal
This study presents the modeling of the gravitational wave (GW) bias parameter by bridging a connection between simulated GW sources and galaxies in low redshift galaxy surveys 2MPZ and WISExSCOS (WISC). We study this connection by creating a mock GW
Externí odkaz:
http://arxiv.org/abs/2411.11965
Autor:
Samin, Md. Nazmus Sadat, Ahad, Jawad Ibn, Medha, Tanjila Ahmed, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
This study focuses on recognizing Bangladeshi dialects and converting diverse Bengali accents into standardized formal Bengali speech. Dialects, often referred to as regional languages, are distinctive variations of a language spoken in a particular
Externí odkaz:
http://arxiv.org/abs/2411.10879
Autor:
Emadi, Azam Sadat, Masoumi, Iman
Let $G=(V,E)$ be a simple graph of order $n$. A Majority Roman Dominating Function (MRDF) on a graph G is a function $f: V\rightarrow\{-1, +1, 2\}$ if the sum of its function values over at least half the closed neighborhoods is at least one , this i
Externí odkaz:
http://arxiv.org/abs/2411.07266
Bipartite entangled states between a qubit and macroscopically distinct states of a mesoscopic system, known as micro-macro entangled states, are emerging resources for quantum information processing. One main challenge in generating such states in t
Externí odkaz:
http://arxiv.org/abs/2410.22913
Autor:
Shahriar, Sadat, Qi, Zheng, Pappas, Nikolaos, Doss, Srikanth, Sunkara, Monica, Halder, Kishaloy, Mager, Manuel, Benajiba, Yassine
Aligning Large Language Models (LLM) to address subjectivity and nuanced preference levels requires adequate flexibility and control, which can be a resource-intensive and time-consuming procedure. Existing training-time alignment methods require ful
Externí odkaz:
http://arxiv.org/abs/2410.19206
Human processing of idioms relies on understanding the contextual sentences in which idioms occur, as well as language-intrinsic features such as frequency and speaker-intrinsic factors like familiarity. While LLMs have shown high performance on idio
Externí odkaz:
http://arxiv.org/abs/2410.16069
Autor:
Zahraei, Pardis Sadat, Shakeri, Zahra
Biased AI-generated medical advice and misdiagnoses can jeopardize patient safety, making the integrity of AI in healthcare more critical than ever. As Large Language Models (LLMs) take on a growing role in medical decision-making, addressing their b
Externí odkaz:
http://arxiv.org/abs/2410.06566
We present TuringQ, the first benchmark designed to evaluate the reasoning capabilities of large language models (LLMs) in the theory of computation. TuringQ consists of 4,006 undergraduate and graduate-level question-answer pairs, categorized into f
Externí odkaz:
http://arxiv.org/abs/2410.06547
Classifier-free guidance (CFG) is crucial for improving both generation quality and alignment between the input condition and final output in diffusion models. While a high guidance scale is generally required to enhance these aspects, it also causes
Externí odkaz:
http://arxiv.org/abs/2410.02416
Breast cancer is a disease in which cells in the breast grow out of control. After surgery, chemotherapy, and other invasive treatments, hyperthermia is a suitable choice with the minimal side effects. In this paper, the treatment of breast cancer us
Externí odkaz:
http://arxiv.org/abs/2410.00058