2 papers
cs.CL2026
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.CL2025
Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
Veniamin Veselovsky, Berke Argin, Benedikt Stroebl +5
Just as humans display language patterns influenced by their native tongue when speaking new languages, LLMs often default to English-centric responses even when generating in othe…