Results 31 to 40 of about 2,402,901 (306)
Accelerating materials language processing with large language models
Communications MaterialsMaterials 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
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Large Language Models in side-channel cryptanalysis [PDF]
International Journal of Electronics and TelecommunicationsRecent 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
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Augmenting interpretable models with large language models during training
Nature Communications, 2023 Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable prediction performance for a growing array of tasks. However, their proliferation into high-stakes domains and compute-limited settings has created a burgeoning need for ...
Chandan Singh +3 more
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Use of Large Language Models: Editorial Comments
Acta Dermato-Venereologica, 2023 is missing (Editorial)
Sam Polesie, Olle Larkö
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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 +3 more
openaire +4 more sources
Computational and Robotic Models of Early Language Development: A Review [PDF]
, 2019 We review computational and robotics models of early language learning and development. We first explain why and how these models are used to understand better how children learn language. We argue that they provide concrete theories of language learning
Kachergis, George +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
Dual Adapter Tuning of Vision–Language Models Using Large Language Models
International Journal of Computational Intelligence SystemsVision–language models (VLMs) pre-trained on large-scale image–text pairs have shown impressive results in zero-shot vision tasks. Knowledge transferability of these models can be further improved with the help of a limited number of samples.
Mohammad Reza Zarei +2 more
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Generating Synthetic Data for Neural Keyword-to-Question Models
, 2018 Search typically relies on keyword queries, but these are often semantically ambiguous. We propose to overcome this by offering users natural language questions, based on their keyword queries, to disambiguate their intent.
Bogdanova Dasha +4 more
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Developmental Disorders in Children Recently Diagnosed With Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source