Results 121 to 130 of about 22,635,901 (285)

Large Language Diffusion Models

open access: yesCoRR
The capabilities of large language models (LLMs) are widely regarded as relying on autoregressive models (ARMs). We challenge this notion by introducing LLaDA, a diffusion model trained from scratch under the pre-training and supervised fine-tuning (SFT) paradigm.
Shen Nie   +9 more
openaire   +3 more sources

Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen   +11 more
wiley   +1 more source

Large Language Model Pruning

open access: yesCoRR
17 pages, 7 figures, 2 ...
Hanjuan Huang   +2 more
openaire   +3 more sources

Comparison of Large Language Models in Retrieval-Augmented Generation

open access: yes
openIl presente documento descrive il lavoro svolto durante il periodo di stage dal laureando Andrea Cecchin, studente dell’Università degli Studi di Padova, presso l’azienda Sync Lab Srl.
CECCHIN, ANDREA
core  

Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold   +12 more
wiley   +1 more source

Personalized Large Language Models

open access: yes2024 IEEE International Conference on Data Mining Workshops (ICDMW)
Large language models (LLMs) have significantly advanced Natural Language Processing (NLP) tasks in recent years. However, their universal nature poses limitations in scenarios requiring personalized responses, such as recommendation systems and chatbots. This paper investigates methods to personalize LLMs, comparing fine-tuning and zero-shot reasoning
Stanislaw Wozniak   +4 more
openaire   +3 more sources

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Large language model applications in nucleic acid research

open access: yesGenomics Communications
Recent advances have demonstrated the capabilities of large language models (LLMs) in harnessing nucleotide information to address biological questions. There is growing interest in exploring the potential synergies between LLMs and genome research. Here,
Lei Li, Cheng Zhao
doaj   +1 more source

[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich   +19 more
wiley   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan   +14 more
wiley   +1 more source

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