Results 161 to 170 of about 619,505 (306)
Hyperbolic Large Language Models
Large language models (LLMs) have achieved remarkable success and demonstrated superior performance across various tasks, including natural language processing (NLP), weather forecasting, biological protein folding, text generation, and solving mathematical problems. However, many real-world data exhibit highly non-Euclidean latent hierarchical anatomy,
Sarang Patil +4 more
openaire +2 more sources
openIl presente documento descrive il lavoro svolto durante il periodo di stage presso l'azienda Zero12 Srl. Obiettivo dello stage era la creazione un sistema di intelligenza artificiale, connesso a tool di mercato con la suite Atlassian Jira, per ...
YE, TAO REN FEDERICO
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Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge
Syntactic parsing plays a pivotal role in most automatic natural language processing systems. The research project presented in this dissertation has focused on two main characteristics of connectionist models for natural language processing: their ...
Nkantah, DE
core
FDG‐PET Associations With Disease Severity and Outcomes in NMDA‐Receptor IgG Autoimmune Encephalitis
ABSTRACT Background Patients with N‐methyl‐D‐aspartate (NMDA) receptor‐immunoglobulin G (IgG) autoimmune encephalitis (NMDAR‐IgG AE) demonstrate occipital lobe hypometabolism on baseline brain fluorodeoxyglucose‐positron emission tomography (bFDG‐PET).
Jonathan K. Lee +7 more
wiley +1 more source
Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup
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
Leveraging Large Language Models for Structured Summarization with Evaluation through Reference Matching [PDF]
openLa rapida crescita delle informazioni digitali richiede metodi efficaci per condensare documenti lunghi in riassunti coerenti e concisi. Questa tesi esplora l'applicazione di tecniche di sintesi strutturata utilizzando grandi modelli linguistici (LLM)
URUN, HILAL
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Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Large language model-based embodied intelligence task planning: from single-agent to multi-agent
With the development of artificial intelligence, embodied intelligence and task planning have gradually become research hotspots. Traditional task planning methods lack flexibility when facing unpredictable environments, while large language models, with
JIA Ziqi +3 more
doaj +2 more sources
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane +43 more
wiley +1 more source

