Results 131 to 140 of about 6,156,320 (380)

A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models

, 2017
Training large vocabulary Neural Network Language Models (NNLMs) is a difficult task due to the explicit requirement of the output layer normalization, which typically involves the evaluation of the full softmax function over the complete vocabulary ...
Klakow, Dietrich, Oualil, Youssef
core   +1 more source

Process Modeling with Large Language Models

In the realm of Business Process Management (BPM), process modeling plays a crucial role in translating complex process dynamics into comprehensible visual representations, facilitating the understanding, analysis, improvement, and automation of organizational processes.
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst   +3 more
openaire   +2 more sources

Methods for working with problem residents in medical physics residency education

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley   +1 more source

ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective [PDF]

, 2021
Sultan Alrowili, Vijay Shanker
openalex   +1 more source

Large Language Models in Fault Localisation

, 2023
Large Language Models (LLMs) have shown promise in multiple software engineering tasks including code generation, code summarisation, test generation and code repair. Fault localisation is essential for facilitating automatic program debugging and repair,
Harman, Mark, Li, Zheng, Liu, Yong, Papadakis, Mike, Wu, Yonghao, Zhang, Jie M.   +5 more
core  

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Towards Optimizing with Large Language Models

, 2023
In this work, we conduct an assessment of the optimization capabilities of LLMs across various tasks and data sizes. Each of these tasks corresponds to unique optimization domains, and LLMs are required to execute these tasks with interactive prompting ...
Chen, Ying-Hsuan, Guo, Pei-Fu, Lin, Shou-De, Tsai, Yun-Da   +3 more
core  

A Dutch Financial Large Language Model

Proceedings of the 5th ACM International Conference on AI in Finance
This paper presents FinGEITje, the first Dutch financial Large Language Model (LLM) specifically designed and optimized for various financial tasks. Together with the model, we release a specialized Dutch financial instruction tuning dataset with over 140,000 samples, constructed employing an automated translation and data processing method.
Sander Noels, Jorne De Blaere, Tijl De Bie   +2 more
openaire   +3 more sources

Large Language Model Unlearning

, 2023
We study how to perform unlearning, i.e. forgetting undesirable misbehaviors, on large language models (LLMs). We show at least three scenarios of aligning LLMs with human preferences can benefit from unlearning: (1) removing harmful responses, (2) erasing copyright-protected content as requested, and (3) reducing hallucinations.
Yao, Yuanshun, Xu, Xiaojun, Liu, Yang
openaire   +2 more sources

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source