Results 21 to 30 of about 227,550 (285)

Naturalness of the relaxion mechanism [PDF]

, 2016
The relaxion mechanism is a novel solution to the hierarchy problem. In this first statistical analysis of the relaxion mechanism, we quantify the relative plausibility of a QCD and a non-QCD relaxion model versus the Standard Model with Bayesian ...
Balazs, Csaba, Fowlie, Andrew, Marzola, Luca, Raidal, Martti, White, Graham   +4 more
core   +1 more source

Deepfake Detection Method Integrating Multiple Parameter-Efficient Fine-Tuning Techniques [PDF]

Jisuanji kexue yu tansuo
In recent years, as deepfake technology matures, face-swapping software and synthesized videos have become widespread. While these techniques offer entertainment, they also provide opportunities for misuse by malicious actors.
ZHANG Yiwen, CAI Manchun, CHEN Yonghao, ZHU Yi, YAO Lifeng
doaj   +1 more source

CE-Prompt: enhance prompt expression stability by multiple understanding [PDF]

PeerJ Computer Science
In this article, we propose CE-Prompt, an enhanced version of Prompt-Tuning designed to address issues such as the instability of random initialization and inefficiencies caused by long text in pre-trained large language models (LLMs).
Wujian Yang, Chunxu Jin, Guanlin Chen, Haotian Jin   +3 more
doaj   +2 more sources

Exploring The Principles and Prospects for Efficient Fine-Tuning of Transformer-Based Pre-Trained Large Language Models [PDF]

ITM Web of Conferences
In recent years, large language models (LLMs) have made breakthroughs in natural language processing and multimodal tasks. However, the growing model size and the high cost of full parameter fine-tuning pose challenges to their efficient adaptation. This
He Ruiqi
doaj   +1 more source

Modelling excitonic-energy transfer in light-harvesting complexes

, 2013
The theoretical and experimental study of energy transfer in photosynthesis has revealed an interesting transport regime, which lies at the borderline between classical transport dynamics and quantum-mechanical interference effects. Dissipation is caused
Kramer, Tobias, Kreisbeck, Christoph
core   +1 more source

TRACE: Time Series Parameter Efficient Fine-Tuning

Neurocomputing
We propose an efficient fine-tuning method for time series foundation models, termed TRACE: Time Series Parameter Efficient Fine-tuning. While pretrained time series foundation models are gaining popularity, they face the following challenges: (1) Unlike natural language tasks, time series data vary in frequency, channel numbers, historical/prediction ...
Yuze Li, Wei Zhu
openaire   +2 more sources

Facilitated diffusion on confined DNA

, 2012
In living cells, proteins combine 3D bulk diffusion and 1D sliding along the DNA to reach a target faster. This process is known as facilitated diffusion, and we investigate its dynamics in the physiologically relevant case of confined DNA. The confining
Foffano, G., Marenduzzo, D., Orlandini, E.   +2 more
core   +1 more source

Hitting sbottom in natural SUSY [PDF]

, 2012
We compare the experimental prospects of direct stop and sbottom pair production searches at the LHC. Such searches for stops are of great interest as they directly probe for states that are motivated by the SUSY solution to the hierarchy problem of the ...
A Brignole, AG Cohen, B Holdom, B Lillie, C Brust, DE Kaplan, G Aad, G Aad, G Aad, G Altarelli, G Altarelli, G Giudice, HE Haber, HM Lee, HP Nilles, Hyun Min Lee, I Antoniadis, J Alwall, JR Ellis, JR Ellis, K Rehermann, LJ Hall, M Carena, M Carena, M Dine, M Drees, M Golden, M Perelstein, ME Peskin, ME Peskin, Michael Trott, P Fayet, PH Chankowski, R Barbieri, R Barbieri, R Essig, R Kitano, S Cassel, S Chatrchyan, S Dimopoulos, S Heinemeyer, S King, T Aaltonen, T Aaltonen, T Han, T Plehn, T Plehn, U Baur, U Ellwanger, V Abazov, V Barger, Veronica Sanz, W Beenakker, Y Kats, Y Okada   +54 more
core   +2 more sources

High-accuracy ECG image interpretation using parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning with multimodal LLaMA V.3.2

BMJ Digital Health & AI
Objective To develop and evaluate a high-accuracy ECG image interpretation model using parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning with the multimodal LLaMA V.3.2 model.Methods and analysis We fine-tuned the multimodal LLaMA V.3.2 model ...
Nandakishor Mukkunnoth, Anjali Mukkunnoth, Meenakshi Khapre, Sudarshan Benamanahalli Puttaswamy   +3 more
doaj   +1 more source

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

, 2017
When approaching a novel visual recognition problem in a specialized image domain, a common strategy is to start with a pre-trained deep neural network and fine-tune it to the specialized domain.
Mori, Greg, Muralidharan, Srikanth, Tung, Frederick   +2 more
core   +1 more source