Results 31 to 40 of about 2,384,193 (254)

Large Margin Neural Language Model

, 2018
We propose a large margin criterion for training neural language models. Conventionally, neural language models are trained by minimizing perplexity (PPL) on grammatical sentences.
Huang, Jiaji, Huang, Liang, Li, Yi, Ping, Wei   +3 more
core   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Large Language Models in side-channel cryptanalysis [PDF]

International Journal of Electronics and Telecommunications
Recent advancements in large language models (LLMs) have demonstrated their potential beyond conventional natural language processing tasks. This study demonstrates that GPT-4, a state-of-the-art large language model, can semiautonomously generate and ...
Witold Waligóra
doaj   +1 more source

The potential of Large Language Models in language education

Освітній вимір, 2021
This editorial explores the potential of Large Language Models (LLMs) in language education. It discusses the role of LLMs in machine translation, the concept of ‘prompt programming’, and the inductive bias of LLMs for abstract textual reasoning.
Vita A. Hamaniuk
doaj   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Developmental Scaffolding with Large Language Models

2023 IEEE International Conference on Development and Learning (ICDL), 2023
Exploratoration and self-observation are key mechanisms of infant sensorimotor development. These processes are further guided by parental scaffolding accelerating skill and knowledge acquisition. In developmental robotics, this approach has been adopted often by having a human acting as the source of scaffolding.
Celik, M. Batuhan, Ahmetoglu, Alper, Ugur, Emre, Oztop, Erhan   +3 more
openaire   +4 more sources

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright, Morgan A. Paul, Selena Murcia Mendez, Emily Jones, Lucille Lokko, Chelsea Heneghan, Nicholas Purol, Morgan Arnold, Rahela Aziz‐Bose, Colleen A. Kelly, Sandi L. Pruitt, Joanne Wolfe, Kira Bona, Puja J. Umaretiya   +13 more
wiley   +1 more source

A Survey of Domain-Specific Fine-Tuned Large Language Models

IEEE Access
The advancement of large language models (LLMs), such as GPT-3, BERT, and Llama, has introduced a new era in natural language processing (NLP) as they have demonstrated exceptional capabilities across diverse tasks.
Paria Sarzaeim, Akramul Azim, Gary Bauer, Masoud Makrehchi   +3 more
doaj   +1 more source

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek, Lori Wiener, Stephanie Veldhuijzen van Zanten, Donna Johnston, Fyeza Hasan, Adam Rapoport, Nathasha Datoo, Kimberley Widger, Sumit Gupta, Karen Fergus, Anthony K. C. Chan, Alisha Kassam, Emily McCullogh, Dave Lysecki   +13 more
wiley   +1 more source

Accelerating materials language processing with large language models

Communications Materials
Materials language processing (MLP) can facilitate materials science research by automating the extraction of structured data from research papers. Despite the existence of deep learning models for MLP tasks, there are ongoing practical issues associated
Jaewoong Choi, Byungju Lee
doaj   +1 more source