Zobrazeno 1 - 10
of 4 816
pro vyhledávání: '"P. Mohammadzadeh"'
We revisit the adiabatic charging of a three-level QBs, using the adiabatic quantum master equation formalism. We restrict ourselves to the weak-coupling regime with an Ohmic thermal bath and investigate the effects of relaxation and dephasing on the
Externí odkaz:
http://arxiv.org/abs/2411.17854
Autor:
Wu, Sean, Chen, Jun Yu, Mohammadzadeh, Vahid, Besharati, Sajad, Lee, Jaewon, Nouri-Mahdavi, Kouros, Caprioli, Joseph, Fei, Zhe, Scalzo, Fabien
Perimetric measurements provide insight into a patient's peripheral vision and day-to-day functioning and are the main outcome measure for identifying progression of visual damage from glaucoma. However, visual field data can be noisy, exhibiting hig
Externí odkaz:
http://arxiv.org/abs/2411.12146
Autor:
Hooper, Coleman, Kim, Sehoon, Mohammadzadeh, Hiva, Maheswaran, Monishwaran, Paik, June, Mahoney, Michael W., Keutzer, Kurt, Gholami, Amir
Emerging Large Language Model (LLM) applications require long input prompts to perform complex downstream tasks like document analysis and code generation. For these long context length applications, the length of the input prompt poses a significant
Externí odkaz:
http://arxiv.org/abs/2411.09688
Autor:
Ghafouri, Bijean, Mohammadzadeh, Shahrad, Zhou, James, Nair, Pratheeksha, Tian, Jacob-Junqi, Goel, Mayank, Rabbany, Reihaneh, Godbout, Jean-François, Pelrine, Kellin
Large language models are increasingly relied upon as sources of information, but their propensity for generating false or misleading statements with high confidence poses risks for users and society. In this paper, we confront the critical problem o
Externí odkaz:
http://arxiv.org/abs/2411.06528
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:
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