Results 51 to 60 of about 3,008,888 (261)

Comparison of Large Language Model with Aphasia

Advanced Science
Large language models (LLMs) respond fluently but often inaccurately, which resembles aphasia in humans. Does this behavioral similarity indicate any resemblance in internal information processing between LLMs and aphasic humans?
Takamitsu Watanabe, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima, Kazuyuki Aihara   +4 more
doaj   +1 more source

Flight Arrival Scheduling via Large Language Model

Aerospace
The flight arrival scheduling problem is one of the critical tasks in air traffic operations, aiming to ensure that the flight arrive in the correct sequence safely. Existing methods primarily focus on the terminal area and often overlook the presence of
Wentao Zhou, Jinlin Wang, Longtao Zhu, Yi Wang, Yulong Ji   +4 more
doaj   +1 more source

Compositional Morphology for Word Representations and Language Modelling [PDF]

, 2014
This paper presents a scalable method for integrating compositional morphological representations into a vector-based probabilistic language model. Our approach is evaluated in the context of log-bilinear language models, rendered suitably efficient for ...
Blunsom, Phil, Botha, Jan A.
core   +1 more source

A Neural Network Approach for Mixing Language Models

, 2017
The performance of Neural Network (NN)-based language models is steadily improving due to the emergence of new architectures, which are able to learn different natural language characteristics.
Klakow, Dietrich, Oualil, Youssef
core   +1 more source

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Text clustering with large language model embeddings

International Journal of Cognitive Computing in Engineering
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data.
Alina Petukhova, João P. Matos-Carvalho, Nuno Fachada   +2 more
doaj   +1 more source

Large Language Models Are Biased Because They Are Large Language Models

Computational Linguistics
Abstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire   +2 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Large language model use in clinical oncology

npj Precision Oncology
Large language models (LLMs) are undergoing intensive research for various healthcare domains. This systematic review and meta-analysis assesses current applications, methodologies, and the performance of LLMs in clinical oncology.
Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, Jakob Nikolas Kather, Martin J. Hetz, Christoph Wies, Maurice Stephan Michel, Frederik Wessels, Titus J. Brinker   +8 more
doaj   +1 more source

FlowLLM: Large language model driven flow visualization

Visual Informatics
Flow visualization is an essential tool for domain experts to understand and analyze flow fields intuitively. In the past decades, various interactive techniques were developed to customize flow visualization for exploration.
Zilin Li, Weihan Zhang, Jun Tao
doaj   +1 more source