From the 2 of 12 linked papers with an AI index.
12 papers
PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits
Namkyung Yoon, Sanghong Kim, Hwangnam Kim
Recent language models achieve strong performance across a variety of tasks, but conventional adaptation applies updates uniformly across training samples regardless of their local…
HALO: Heterogeneous Admission through Localized Obligations for Safe Agentic Execution
Taewoo Park, Kyeonghyun Yoo, Kiseok Kim +2
The paper introduces HALO, a runtime admission protocol that safely executes heterogeneous AI responses by checking each component’s prerequisites and re‑validating actions before…
Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation
Dohun Lee, Kyeonghyun Yoo, Seokmin Kim +3
The paper introduces Arm2Air, a method that transfers obstacle-avoidance motion skeletons learned from robot arms to UAVs for efficient 3D relay placement in cluttered urban enviro…
Cross-IP Request Coalescing: Relocating the Fan-out Point in Virtualized I/O
Kiseok Kim, Hyeontae Joo, Hwangnam Kim
Cloud data centers rely on virtualization technologies to serve AI workloads in multi-tenant environments. With the growing scale of data-intensive AI workloads, the performance of…
Optimality-Preserving Decomposition for Scalable QAOA in Natural-Language-Guided Multi-Drone Assignment
Junyeop Bang, Byongho Lee, Dohyun An +1
As multi-drone fleets scale, zone assignment rapidly evolves into an intractable NP-hard combinatorial problem that overwhelms classical exhaustive search. While quantum optimizati…
Selective Agentic Recovery for UAV Autonomy with a Persistent Mission Runtime
Taewoo Park, Kyeonghyun Yoo, Seunghyun Yoo +1
Agentic AI can support unmanned aerial vehicle (UAV) autonomy by providing high-level recovery reasoning when local waypoint- or setpoint-based execution encounters blocked passage…