3 papers
cs.AI2026
Rethinking Inference-Time Scaling in Local Computer-Use Agents: Failure Modes and Compute Tradeoffs
Woongkyu Lee, Jungwook Choi
Deploying autonomous computer-use agents (CUAs) locally is increasingly important for privacy, cost efficiency, and practical usability, yet improving their performance under stric…
cs.CL2025
MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM
Woongkyu Lee, Junhee Cho, Jungwook Choi
Large language models (LLMs) have advanced code generation from single-function tasks to competitive-programming problems, but existing multi-agent solutions either rely on costly…
cs.AR2024
PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-based Long-Context LLM Inference System
Hyucksung Kwon, Kyungmo Koo, Janghyeon Kim +19
The expansion of long-context Large Language Models (LLMs) creates significant memory system challenges. While Processing-in-Memory (PIM) is a promising accelerator, we identify th…