Results 51 to 60 of about 2,420,708 (306)

Dual Adapter Tuning of Vision–Language Models Using Large Language Models

International Journal of Computational Intelligence Systems
Vision–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, Abbas Akkasi, Majid Komeili   +2 more
doaj   +1 more source

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

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, Lin Chin-Yew, Mikolov Tomas, Ros German, Zheng Zhicheng   +4 more
core   +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, Jiang, Qiaochu, Li, Wenda, Rabe, Markus, Staats, Charles, Jamnik, Mateja, Szegedy, Christian   +6 more
openaire   +3 more sources

DISCO: Distilling Counterfactuals with Large Language Models [PDF]

, 2022
Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal   +4 more
openalex   +1 more source

Parent Quality of Life at Two Years Following Their Child's Completion of Acute Lymphoblastic Leukemia Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra, Maria McCarthy, Michael Takagi, Cinzia De Luca   +3 more
wiley   +1 more source

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, Mrva, David, Prasad, Niranjani, Robinson, Tony, Williams, Will   +4 more
core   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Personality Emulation Utilizing Large Language Models

Applied Sciences
Fake 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

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