3 papers
cs.CL2026
Beyond Two Bytes per Letter: Tokenization Overhead in Cyrillic AI Systems
Ivan Dobrovolskyi
Modern multilingual tokenizers often fragment Ukrainian and other underrepresented Cyrillic-script languages more heavily than English, creating disparities in cost and context cap…
cs.AI2026
Empirical Comparison of Agent Communication Protocols for Task Orchestration
Ivan Dobrovolskyi
Context. The problem of comparative evaluation of communication protocols for task orchestration by large language model (LLM) agents is considered. The object of study is the proc…
cs.IR2026
Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
Ivan Dobrovolskyi
Large Language Models (LLMs) deployed as autonomous agents commonly use Retrieval-Augmented Generation (RAG), feeding retrieved documents into the context window, which creates two…