Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
This article surveys and organizes research works in a new paradigm in natural language
processing, which we dub “prompt-based learning.” Unlike traditional supervised learning, …
processing, which we dub “prompt-based learning.” Unlike traditional supervised learning, …
g‐C3N4‐Based Heterostructured Photocatalysts
Photocatalysis is considered as one of the promising routes to solve the energy and
environmental crises by utilizing solar energy. Graphitic carbon nitride (g‐C 3 N 4 ) has attracted …
environmental crises by utilizing solar energy. Graphitic carbon nitride (g‐C 3 N 4 ) has attracted …
Global consensus recommendations on prevention and management of nutritional rickets
…, A Seth, HW Idris, V Bhatia, J Fu… - The Journal of …, 2016 - academic.oup.com
Background: Vitamin D and calcium deficiencies are common worldwide, causing nutritional
rickets and osteomalacia, which have a major impact on health, growth, and development …
rickets and osteomalacia, which have a major impact on health, growth, and development …
Observation of electron-antineutrino disappearance at Daya Bay
…, WR Edwards, SR Ely, SD Fang, JY Fu, ZW Fu… - Physical Review Letters, 2012 - APS
The Daya Bay Reactor Neutrino Experiment has measured a nonzero value for the neutrino
mixing angle θ 13 with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 …
mixing angle θ 13 with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 …
Experimental and theoretical challenges in the search for the quark–gluon plasma: The STAR Collaboration's critical assessment of the evidence from RHIC collisions
…, Y Fisyak, J Fu, CA Gagliardi, L Gaillard, J Gans… - Nuclear Physics A, 2005 - Elsevier
We review the most important experimental results from the first three years of nucleus–nucleus
collision studies at RHIC, with emphasis on results from the STAR experiment, and we …
collision studies at RHIC, with emphasis on results from the STAR experiment, and we …
Llama 2: Open foundation and fine-tuned chat models
…, G Cucurull, D Esiobu, J Fernandes, J Fu, W Fu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-…
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-…
Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study
Background Data on patients with COVID-19 who have cancer are lacking. Here we characterise
the outcomes of a cohort of patients with cancer and COVID-19 and identify potential …
the outcomes of a cohort of patients with cancer and COVID-19 and identify potential …
TIMER2. 0 for analysis of tumor-infiltrating immune cells
Tumor progression and the efficacy of immunotherapy are strongly influenced by the composition
and abundance of immune cells in the tumor microenvironment. Due to the limitations …
and abundance of immune cells in the tumor microenvironment. Due to the limitations …
Dual attention network for scene segmentation
In this paper, we address the scene segmentation task by capturing rich contextual dependencies
based on the self-attention mechanism. Unlike previous works that capture contexts by …
based on the self-attention mechanism. Unlike previous works that capture contexts by …
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
Cancer treatment by immune checkpoint blockade (ICB) can bring long-lasting clinical
benefits, but only a fraction of patients respond to treatment. To predict ICB response, we …
benefits, but only a fraction of patients respond to treatment. To predict ICB response, we …