3 papers
cs.AI2026
RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
Gyuhyeong Kim, Hyojung Gwon, Jeonghyeon Kim +2
Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated GitHub issues: long, structured, and information-rich. Real user…
cs.HC2026
Leveraging LLMs for Efficient and Personalized Smart Home Automation
Chaerin Yu, Chihun Choi, Sunjae Lee +4
The proliferation of smart home devices has increased the complexity of controlling and managing them, leading to user fatigue. In this context, large language models (LLMs) offer…
cs.HC2025
VeriSafe Agent: Safeguarding Mobile GUI Agent via Logic-based Action Verification
Jungjae Lee, Dongjae Lee, Chihun Choi +6
Large Foundation Models (LFMs) have unlocked new possibilities in human-computer interaction, particularly with the rise of mobile Graphical User Interface (GUI) Agents capable of…