output
20092024
most citedA Kinetic Flux Difference Splitting Method for Compressible Flows

9 citations

5 papers

cs.CL2024

Prompt-Time Symbolic Knowledge Capture with Large Language Models

Tolga Çöplü, Arto Bendiken, Andrii Skomorokhov +3

Augmenting large language models (LLMs) with user-specific knowledge is crucial for real-world applications, such as personal AI assistants. However, LLMs inherently lack mechanism…

cs.LG2023

A Performance Evaluation of a Quantized Large Language Model on Various Smartphones

Tolga Çöplü, Marc Loedi, Arto Bendiken +3

This paper explores the feasibility and performance of on-device large language model (LLM) inference on various Apple iPhone models. Amidst the rapid evolution of generative AI, o…

physics.flu-dyn2021★ 9 cited

A Kinetic Flux Difference Splitting Method for Compressible Flows

Shrinath. K. S, Maruthi. N. H, S. V. Raghurama Rao +1

A low diffusive flux difference splitting based kinetic scheme is developed based on a discrete velocity Boltzmann equation, with a novel three velocity model. While two discrete v…

hep-lat2013★ 1 cited

Extension of the HAL QCD approach to inelastic and multi-particle scatterings in lattice QCD

Sinya Aoki

We extend the HAL QCD approach, with which potentials between two hadrons can be obtained in QCD at energy below inelastic thresholds, to inelastic and multi-particle scatterings.…

hep-lat2009★ 3 cited

Nuclear Forces from Lattice QCD

T. Hatsuda

A method to extract nucleon-nucleon (NN) potentials from the Bethe-Salpeter amplitude in lattice QCD is presented. It is applied to the two nucleons on the lattice with quenched QC…