2 papers
cs.CL2025
Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor
Ivan Zakazov, Berke Argin, Oussama Gabouj +6
Motivated by the high costs of using black-box Large Language Models (LLMs), we introduce a novel prompt compression paradigm, under which we use smaller LLMs to compress inputs fo…
cs.LG2023
Packed-Ensemble Surrogate Models for Fluid Flow Estimation Arround Airfoil Geometries
Anthony Kalaydjian, Anton Balykov, Alexi Semiz +1
Physical based simulations can be very time and computationally demanding tasks. One way of accelerating these processes is by making use of data-driven surrogate models that learn…