Results 181 to 190 of about 6,156,320 (380)
A Survey on Model Compression for Large Language Models
Transactions of the Association for Computational LinguisticsAbstract Large Language Models (LLMs) have transformed natural language processing tasks successfully. Yet, their large size and high computational needs pose challenges for practical use, especially in resource-limited settings. Model compression has emerged as a key research area to address these challenges.
Zhu, Xunyu +4 more
openaire +2 more sources
Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is one of the most common and debilitating symptoms of relapsing–remitting multiple sclerosis (RRMS). Digital cognitive biomarkers require less time and resources and are rapidly gaining popularity in clinical settings.
Yi Chao Foong +17 more
wiley +1 more source
Large Language Models for Agricultural Injury Surveillance
SafetyThe traditional approach to curating and disseminating information about agricultural injuries relies heavily on manual input and review, resulting in a labor-intensive process.
Jacob Muller +5 more
doaj +1 more source
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
, 2021 Ruiqi Zhong +3 more
openalex +2 more sources
Evaluating Quantized Large Language Models
Post-training quantization (PTQ) has emerged as a promising technique to reduce the cost of large language models (LLMs). Specifically, PTQ can effectively mitigate memory consumption and reduce computational overhead in LLMs. To meet the requirements of
Dai, Guohao +8 more
core
Text Classification via Large Language Models
, 2023 Despite the remarkable success of large-scale Language Models (LLMs) such as GPT-3, their performances still significantly underperform fine-tuned models in the task of text classification.
Guo, Shangwei +6 more
core
Early BMI Change, Cognitive Decline, and CSF AD Biomarkers Alterations in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the relationship of early BMI change with subsequent cognitive decline, CSF AD biomarkers alterations, and progression to dementia in patients with PD. Methods Study data were prospectively collected from the PPMI cohort. Weight/height data at enrollment and second‐year clinical visit were utilized to calculate BMI change.
Rui Zhong, Kezhong Zhang
wiley +1 more source
CPM: A Large-scale Generative Chinese Pre-trained Language Model
, 2020 Zhengyan Zhang +24 more
openalex +2 more sources
PromptChainer: Chaining Large Language Model Prompts through Visual Programming [PDF]
, 2022 Tongshuang Wu +6 more
openalex +1 more source