Results 31 to 40 of about 137,842 (266)

GPT understands, too

open access: yesAI Open
Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding (NLU). However, our preliminary study reveals that manual discrete prompts often lead to unstable performance -- e.g., changing a single word in the prompt might result in substantial performance drop.
Xiao Liu   +6 more
openaire   +3 more sources

Features of Plagiarism Checking in a Technical University Considering the Possibilities of Application of Generative Artificial Intelligence by Learners

open access: yesОткрытое образование (Москва)
The purpose of the study. The paper discusses the current issues of checking the volume of borrowed text in the graduation qualification paper in a technical university taking into account the probability of using the capabilities of artificial ...
L. A. Zinchenko   +2 more
doaj   +1 more source

Performance of T-shape barriers with top surface covered with absorptive quadratic residue diffusers [PDF]

open access: yes, 2008
A previous paper [Applied Acoustics 66 (2005) 709–730] has shown that adding a quadratic residue diffuser (QRD) to the top of a T-shape barrier can provide better barrier performance than an equivalent purely absorptive barrier.
Lam, YW, Monazzam, M
core   +2 more sources

Typical local measurements in generalised probabilistic theories: emergence of quantum bipartite correlations [PDF]

open access: yes, 2013
What singles out quantum mechanics as the fundamental theory of Nature? Here we study local measurements in generalised probabilistic theories (GPTs) and investigate how observational limitations affect the production of correlations.
Albert H. Werner   +12 more
core   +3 more sources

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

open access: yesFEBS 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

Investing for the Long Run

open access: yes, 2017
This paper studies long term investing by an investor that maximizes either expected utility from terminal wealth or from consumption. We introduce the concepts of a generalized stochastic discount factor (SDF) and of the minimum price to attain target ...
Leisen, Dietmar, Platen, Eckhard
core   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

Will graduate students engage in unethical uses of GPT? An exploratory study to understand their perceptions

open access: yesEducational Technology & Society
As AI technologies like GPT models continue to reshape various aspects of society, it is imperative to investigate the perceptions and ethical considerations of graduate students regarding GPT’s use in academic settings.
Zhuo Wang, Zhaoyi Yin, Ying Zheng, Xuehui Li, Li Zhang
doaj   +1 more source

Using Large Language Models for the Interpretation of Building Regulations [PDF]

open access: yesJournal of Engineering, Project, and Production Management
Compliance checking is an essential part of a construction project. The recent rapid uptake of building information models (BIM) in the construction industry has created more opportunities for automated compliance checking (ACC).
Stefan Fuchs   +3 more
doaj   +1 more source

Sim-GPT: Text Similarity via GPT Annotated Data

open access: yes, 2023
Due to the lack of a large collection of high-quality labeled sentence pairs with textual similarity scores, existing approaches for Semantic Textual Similarity (STS) mostly rely on unsupervised techniques or training signals that are only partially correlated with textual similarity, e.g., NLI-based datasets.
Wang, Shuhe   +7 more
openaire   +2 more sources

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