Results 41 to 50 of about 2,402,901 (306)
Scaling Recurrent Neural Network Language Models
, 2015 This paper investigates the scaling properties of Recurrent Neural Network Language Models (RNNLMs). We discuss how to train very large RNNs on GPUs and address the questions of how RNNLMs scale with respect to model size, training-set size ...
Ash, Tom +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Large language models and the emergence phenomena
European Journal of Radiology Open, 2023 This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer ...
Vera Sorin, Eyal Klang
doaj +1 more source
Autoformalization with Large Language Models
, 2022 Autoformalization is the process of automatically translating from natural language mathematics to formal specifications and proofs. A successful autoformalization system could advance the fields of formal verification, program synthesis, and artificial intelligence.
Wu, Yuhuai +6 more
openaire +3 more sources
A Neural Network Approach for Mixing Language Models
, 2017 The performance of Neural Network (NN)-based language models is steadily improving due to the emergence of new architectures, which are able to learn different natural language characteristics.
Klakow, Dietrich, Oualil, Youssef
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Personality Emulation Utilizing Large Language Models
Applied SciencesFake identities have proven to be an effective methodology for conducting privacy and cybersecurity research; however, existing models are limited in their ability to interact with and respond to received communications.
Jack Kolenbrander, Alan J. Michaels
doaj +1 more source
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition
, 2019 Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context.
Du, Jingfei +2 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Large scale paired antibody language models.
PLoS Computational BiologyAntibodies are proteins produced by the immune system that can identify and neutralise a wide variety of antigens with high specificity and affinity, and constitute the most successful class of biotherapeutics.
Henry Kenlay +5 more
doaj +1 more source