Results 81 to 90 of about 2,403,325 (304)
Rethinking the Hyperparameters for Fine-tuning
CoRR, 2020 Published as a conference paper at ICLR ...
Hao Li +6 more
openaire +3 more sources
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Exploration of Whisper fine-tuning strategies for low-resource ASR
EURASIP Journal on Audio, Speech, and Music ProcessingLimited data availability remains a significant challenge for Whisper’s low-resource speech recognition performance, falling short of practical application requirements.
Yunpeng Liu, Xukui Yang, Dan Qu
doaj +1 more source
Inflation and the fine-tuning problem [PDF]
Physical Review D, 1997 5 pages in Latex (uses Revtex), no figures.
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Електроніка та інформаційні технологіїBackground. Building upon previous research, this study conducts an exploration into Large Language Models (LLMs), with an emphasis on the fine-tuning and assessment of LLaMA-3.1 for instructional tasks. LLaMA-3.1, which is a new generation model and has
Bohdan Pavlyshenko, Ivan Bulka
doaj +1 more source
Data-efficient Fine-tuning for LLM-based Recommendation [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information RetrievalLeveraging Large Language Models (LLMs) for recommendation has recently garnered considerable attention, where fine-tuning plays a key role in LLMs' adaptation.
Xinyu Lin +6 more
semanticscholar +1 more source
Fine-tuning of integrin activation [PDF]
Blood, 2016 In this issue of Blood , [Block et al][1] demonstrate that G protein β subunit (Gβ) isoforms are indispensable for chemokine-induced lymphocyte function-associated antigen 1 (LFA-1) integrin activation and neutrophil arrest mediated by Ras-related C3 botulinum toxin substrate 1 (Rac1 ...
openaire +2 more sources