3 papers
cs.LG2026
Attention, Dynamic Wave and Hybrid Sequence Mixers in Language Models
Dmytro Babarytskyi, Oleksandr Babarytskyi
Large Language Models (LLMs) rely on Multi-Head Attention (MHA) for sequence modeling, but scaling to long contexts is constrained by the quadratic cost of attention, motivating su…
cs.RO2026
Feasibility Ceilings Before Learning: Sizing and Timing Bounds for Drone-Mesh Interception
Dmytro Babarytskyi
A mesh of interceptors defending a fixed site must spread over the predicted arrival point of an approaching object. This is a recurring task in multi-agent robotics: N agents, eac…
cs.LO2026
Token Optimization Strategies for LLM-Based Oracle-to-PostgreSQL Migration
Oleg Grynets, Dmytro Babarytskyi, Vasyl Lyashkevych
LLMs are increasingly used for software modernization, code translation, and database migration. However, LLM-based Oracle2PostgreSQL migration remains constrained by high token co…