New Transport Properties of Anisotropic Holographic Superfluids
We complete the analysis of transport phenomena in p-wave superfluids within gauge/gravity duality, using the SU(2) Einstein-Yang-Mills model with backreaction.
Erdmenger, Johanna +2 more
core +1 more source
Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang +11 more
wiley +1 more source
The Rise of Large Language Models: Evolution, Applications, and Future Directions
This paper provides a comprehensive Systematic Literature Review (SLR) on Large Language Models (LLMs), covering their evolution, applications, evaluation metrics, and challenges. It identifies key research gaps and future directions, offering a structured taxonomy and analysis of performance environments, datasets, and open issues in LLM research ...
Amir Masoud Rahmani +2 more
wiley +1 more source
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Our work examines the way in which large language models can be used for robotic planning and sampling, specifically the context of automated photographic documentation.
Dudek, Gregory +6 more
core
ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering
Although the initial machine learning (ML) applications were mainly on fault detection, signal processing, and process modeling, they extended to new areas like property estimation and material screening in later years; energy technologies, environmental issues, health, and new materials will likely be more important in future with the use of larger ...
Pınar Özdemir, Ramazan Yıldırım
wiley +1 more source
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models
Controlling the text generated by language models and customizing the content has been a long-standing challenge. Existing prompting techniques proposed in pursuit of providing control are task-specific and lack generality; this provides overwhelming ...
Mishra, Swaroop, Nouri, Elnaz
core
Optimizing PPP Performance by Incorporating ZWD Constraints Derived From Data Assimilation
Abstract One of the primary error sources limiting the performance of the Precise Point Positioning (PPP) technique is the atmospheric wet delay, caused by the presence of water vapor in the lower atmosphere. Accurately representing this parameter is crucial for improving the initialization and accuracy of satellite‐based positioning techniques ...
Masoud Dehvari +2 more
wiley +1 more source
Does Writing with Language Models Reduce Content Diversity?
Large language models (LLMs) have led to a surge in collaborative writing with model assistance. As different users incorporate suggestions from the same model, there is a risk of decreased diversity in the produced content, potentially limiting diverse ...
He, He, Padmakumar, Vishakh
core
A precipitation forecast model applied with the RBF based on the improved GPT3 model in Japan
Abstract Accurate monitoring of atmospheric water vapor content is essential for the early warning of extreme weather events. As known, GNSS zenith troposphere delay (GNSS_ZTD) is an indispensable data source for retrieving precipitable water vapor (PWV).
li song +7 more
openaire +1 more source
Artificial Intelligence on Campus: Revisiting Understanding as an Aim of Higher Education
Abstract The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara‐Steidel posit a way of addressing the concerns over ChatGPT
Jamie Herman, Henry Lara‐Steidel
wiley +1 more source

