2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
SlimWise: Decoupling Expert Pruning Across Prefill and Decode for Efficient MoE Serving
Gunho Park, Kyoungho Jeun, Juntaek Oh +3
Mixture-of-experts (MoE) models activate few experts per token, yet batched decoding can access nearly the entire expert pool, making expert-weight traffic a major bottleneck. Expe…
cs.AI2026
Agent-X: Full Pipeline Acceleration of On-device AI Agents
Jinha Chung, Byeongjun Shin, Jiin Kim +1
LLM-based agents deliver state-of-the-art performance across tasks but incur high end-to-end latency on edge devices. We introduce Agent-X, a software-only, accuracy-preserving fra…
cs.LG2025★ 2 cited
The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
Jiin Kim, Byeongjun Shin, Jinha Chung +1
Large-language-model (LLM)-based AI agents have recently showcased impressive versatility by employing dynamic reasoning, an adaptive, multi-step process that coordinates with exte…