Zobrazeno 1 - 10
of 4 759
pro vyhledávání: '"Mohammadzadeh P"'
Autor:
Mohammadzadeh, Shahrad, Guerra, Juan David, Bonizzato, Marco, Rabbany, Reihaneh, Farnadi, Golnoosh
As large language models (LLMs) become increasingly deployed across various industries, concerns regarding their reliability, particularly due to hallucinations-outputs that are factually inaccurate or irrelevant to user input-have grown. Our researc
Externí odkaz:
http://arxiv.org/abs/2410.15460
False and nuisance alarms in industrial fault detection systems are often triggered by uncertainty, causing normal process variable fluctuations to be erroneously identified as faults. This paper introduces a novel encoder-based residual design that
Externí odkaz:
http://arxiv.org/abs/2408.13526
The Fisher Information Matrix (FIM) provides a way for quantifying the information content of an observable random variable concerning unknown parameters within a model that characterizes the variable. When parameters in a model are directly linked t
Externí odkaz:
http://arxiv.org/abs/2406.05395
Autor:
Ghoreishi SM, Khalaj A, Sabzevari O, Badrzadeh L, Mohammadzadeh P, Mousavi Motlagh SS, Bitarafan-Rajabi A, Shafiee Ardestani M
Publikováno v:
International Journal of Nanomedicine, Vol Volume 13, Pp 4671-4683 (2018)
Seyedeh Masoumeh Ghoreishi,1,2 Ali Khalaj,1 Omid Sabzevari,3 Leila Badrzadeh,1 Pardis Mohammadzadeh,1,4 Seyed Shahaboddin Mousavi Motlagh,5 Ahmad Bitarafan-Rajabi,6 Mehdi Shafiee Ardestani1 1Department of Radiopharmacy, Faculty of Pharmacy, Tehran Un
Externí odkaz:
https://doaj.org/article/bd8f1ffd4b9140b8b2e15b81f44e0923
Autor:
Hooper, Coleman, Kim, Sehoon, Mohammadzadeh, Hiva, Mahoney, Michael W., Shao, Yakun Sophia, Keutzer, Kurt, Gholami, Amir
LLMs are seeing growing use for applications which require large context windows, and with these large context windows KV cache activations surface as the dominant contributor to memory consumption during inference. Quantization is a promising approa
Externí odkaz:
http://arxiv.org/abs/2401.18079
Autor:
Ralambomihanta, Tokiniaina Raharison, Mohammadzadeh, Shahrad, Islam, Mohammad Sami Nur, Jabbour, Wassim, Liang, Laurence
The rapid evolution of Large Language Models (LLMs), epitomized by architectures like GPT-4, has reshaped the landscape of natural language processing. This paper introduces a pioneering approach to address the efficiency concerns associated with LLM
Externí odkaz:
http://arxiv.org/abs/2401.17574
Autor:
Mohammadzadeh, Navid, Truong-Ba, Huy, Cholette, Michael E., Steinberg, Theodore A., Manzolini, Giampaolo
Concentrated Solar Thermal (CST) offers a promising solution for large-scale solar energy utilization as Thermal Energy Storage (TES) enables electricity generation independently of daily solar fluctuations, shifting to high-priced electricity interv
Externí odkaz:
http://arxiv.org/abs/2401.01133
To benefit from the modeling capacity of deep models in system identification, without worrying about inference time, this study presents a novel training strategy that uses deep models only at the training stage. For this purpose two separate models
Externí odkaz:
http://arxiv.org/abs/2312.15969
Autor:
Ghadami, Ali, Taghimohammadi, Mohammadreza, Mohammadzadeh, Mohammad, Hosseinipour, Mohammad, Taheri, Alireza
Robots' acceptability among humans and their sociability can be significantly enhanced by incorporating human-like reactions. Humans can react to environmental events very quickly and without thinking. An instance where humans show natural reactions
Externí odkaz:
http://arxiv.org/abs/2312.07671
Publikováno v:
Progress of Theoretical and Experimental Physics, Volume 2024, Issue 1, January 2024, 013D03
This paper explores a novel revision of the Faddeev equation for three-body (3B) bound states, as initially proposed in Ref. \cite{golak2013three}. This innovative approach, referred to as \tmatrixfree in this paper, directly incorporates two-body (2
Externí odkaz:
http://arxiv.org/abs/2312.05132