Odessa National Polytechnic University

Recent papers from Odessa National Polytechnic University

1. How Long Can a Humanoid Robot Hold a Box? Joint Torque, Motor Heat and Battery Limits on Five Open Robot Models2026
2. Developing a Client-Oriented Model for the Managerial Assessment of Administrative Service Quality in Local Self-Government BodiesEconomic scope · 2026
3. Living NPCs: Can Players Tell Who Is Human? An Indistinguishability Test on Zero-Script LLM Villagers2026
4. Персоналізація Освітнього Процесу На Основі Моделювання Індивідуальних Освітніх Траєкторій Студентів В Умовах Адаптивного Змішаного НавчанняEducation Innovation Practice · 2026
5. Mankind in the Culture of His Time: The Specificity of Value OrientationCulturological Almanac · 2026
6. Living NPCs: A Classification of AI Integration Approaches for Game Characters2026
7. Living NPCs: Zero-Script LLM Characters on a Shared Engine — Live Results from a 2D Village and a 3D Mage Isle2026
8. Open-Source Model Auditing Infrastructure: Third-Party Verification of Training Data Claims2026
9. How the KV Cache Works: Why Cached Tokens Stay Valid When Later Tokens Change Their Meaning2026
10. Explainability-as-a-Service: Comparing Managed XAI Platforms Against In-House Observability Stacks2026
11. KV-Cache Compression Techniques in Production: Cost Savings vs Quality Degradation Trade-offs2026
12. Prompt Caching ROI: When Repeated-Context Discounts Actually Offset Engineering Overhead2026
13. Cross-Agent Traceability: Propagating Observability Context Through Multi-Agent Tool Chains2026
14. Model Routing at Scale: Cost-Quality Arbitrage Across Frontier and Open-Weight Model Tiers2026
15. The Context-Window Premium: Why Long-Context Models Command Higher Prices Than Token Count Alone Explains2026
16. Trusted Open Source AI in Healthcare: Curated Stack for Clinical AI2026
17. XAI for AI Auditors: Building a Cost-Effective AI Audit Practice2026
18. Formal Methods for XAI Verification: Proving That Explanations Are Correct2026
19. Human-AI Decision Support: Cost Structure of Explanation-Centric Workflows2026
20. Interpretable Models vs Post-Hoc Explanations: True Cost Comparison for Enterprise AI2026