LLMR: Real-time Prompting of Interactive Worlds using Large Language Models by De La Torre, Fernanda, Fang, Cathy Mengying, Huang, Han, Banburski-Fahey, Andrzej, Amores Fernandez, Judith, Lanier, Jaron

“…We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs. …”
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An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG by Taylor, Christopher, Breault, Macauley Smith, Dorman, Daniel, Greene, Patrick, Sacré, Pierre, Sampson, Aaron, Niebur, Ernst, Stuphorn, Veit, González-Martínez, Jorge, Sarma, Sridevi

“…However, the connectivity of large-scale brain networks during decision-making is not well understood. …”
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Study: Transparency is Often Lacking in Datasets Used to Train Large Language Models by Zewe, Adam

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Towards Efficient Planning for Navigation using Global Information in Large and Uncertain Environments by Kurtz, Martina Stadler

“…We would like to enable a team of robots to navigate quickly and efficiently in large and uncertain outdoor environments. We hypothesize that in such environments, global, uncertainty-aware information is necessary to enable high-quality planning. …”
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3D porous graphene films with large-area in-plane exterior skins by Tay, Roland Yingjie, Li, Hongling, Ng, Zhi Kai, Tsang, Siu Hon, Gao, Wei, Teo, Edwin Hang Tong

“…Owing to the unique morphological features of the modified Ni template, the graphene film exhibits a holey surface with large-area exterior skin coverage of >94% and many interconnected ligaments within its porous interior. …”
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Scalable teacher forcing network for semi-supervised large scale data streams by Pratama, Mahardhika, Za'in, Choiru, Lughofer, Edwin, Pardede, Eric, Rahayu, Dwi A. P.

“…The large-scale data stream problem refers to high-speed information flow which cannot be processed in scalable manner under a traditional computing platform. …”
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Skin disease diagnosis using deep neural network and large language model by Xia, Deneng

“…The pretrained Large Language Models (LLMs) have shown remarkable performance in various fields. …”
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Use of large language models (LLMs) for personalized and accessible mental health support by Lee, Junwei

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MCQGen: a large language model-driven MCQ generator for personalized learning by Hang, Ching Nam, Tan, Chee Wei, Yu, Pei-Duo

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Miniaturizing Large Hadron Collider (LHC): charged particle dynamics in electromagnetic field by Liu, Shukun

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Selecting training samples from large and noisy corpora for efficient text classification by Wong, Daji

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Trust management for large-scale heterogeneous wireless sensor and actuator networks (I) by Ummeaiman Najmuddin Shakir

“…In a Large-Scale Heterogeneous Wireless Sensor and Actuator Networks (LS-HWSANs), in which numerous sensor/actuator nodes sense the environment, it is important to have Security, Privacy and Trust. …”
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Large eddy simulations of flow over solid circular cylinders and rectangular blocks by Lim, Yong Xiang

“…This simulation was done using Large Eddy Simulation. By comparing the results of Re=3900 to various published results, LES was proved to show good agreement with the other papers. …”
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Large-scale capacitive touch panels : sensor pattern design, sampling and interpolation by Akhtar, Humza

“…We differentiate between touch panels and touch screens based on size, and steer the direction of this thesis towards touch panels after identifying three unanswered research questions that come up while designing large-scale capacitive touch panels. We discuss role of large-scale touch panels in Earth science education and explain the motivation for doing research on large-scale panels. …”
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Warming alters plankton body-size distributions in a large field experiment by Albini, D, Ransome, E, Dumbrell, AJ, Pawar, S, O’Gorman, EJ, Smith, TP, Bell, T, Jackson, MC, Woodward, G

“…We addressed this gap by conducting an extensive freshwater mesocosm experiment across 36 large field mesocosms exposed to intergenerational warming treatments of up to +8 °C above ambient levels. …”

Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

“…Algorithms that scale to large datasets (more than 10.000 diploid indi- viduals), such as GERMLINE and RaPID sacrifice modeling accuracy in favor of computational speed. …”

Laboratory study of the enhanced wave-induced drift of large rectangular floating objects by Xiao, Q, McAllister, ML, Adcock, TAA, van den Bremer, T

“…This study presents laboratory experiments investigating the drift of large two-dimensional floating objects on deep-water, unidirectional, regular waves, with wave steepness ranging from 0.04 to 0.31 (0.04 < kaw < 0.31, where k is the wavenumber and aw the wave amplitude). …”

CT perfusion for lesion-symptom mapping in large vessel occlusion ischemic stroke by Garrard, JW, Neuhaus, A, Carone, D, Joly, O, Zarrintan, A, Rabinstein, AA, Huynh, T, Harston, G, Brinjikji, W, Kallmes, DF

“…Background: Identifying eloquent regions associated with poor outcomes based on CT perfusion (CTP) may help inform personalized decisions on selection for endovascular therapy (EVT) in patients with large vessel occlusion (LVO) ischemic stroke. This study aimed to characterize the relationship between CTP-defined hypoperfusion and National Institutes of Health Stroke Scale (NIHSS) subitem deficits. …”

Towards interpretable sequence continuation: analyzing shared circuits in large language models by Lan, M, Torr, P, Barez, F

A generative model for evaluating missing data methods in large epidemiological cohorts by Radosavljević, L, Smith, SM, Nichols, TE

“…Background: The potential value of large scale datasets is constrained by the ubiquitous problem of missing data, arising in either a structured or unstructured fashion. …”