5 papers
Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work
Brandon Lepine, Juho Kim, Pamela Mishkin +1
Systems like ChatGPT and Claude assist billions through proactive dialogue-offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive…
Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing
Yeon Su Park, Nadia Azzahra Putri Arvi, Seoyoung Kim +1
Large language models (LLMs) are increasingly used as collaborative partners in writing. However, this raises a critical challenge of authorship, as users and models jointly shape…
WACA-UNet: Weakness-Aware Channel Attention for Static IR Drop Prediction in Integrated Circuit Design
Youngmin Seo, Yunhyeong Kwon, Younghun Park +6
Accurate spatial prediction of power integrity issues, such as IR drop, is critical for reliable VLSI design. However, traditional simulation-based solvers are computationally expe…
An LLM-Integrated Framework for Completion, Management, and Tracing of STPA
Ali Raeisdanaei, Juho Kim, Michael Liao +1
In many safety-critical engineering domains, hazard analysis techniques are an essential part of requirement elicitation. Of the methods proposed for this task, STPA (System-Theore…
GPU-Accelerated Counterfactual Regret Minimization
Juho Kim
Counterfactual regret minimization is a family of algorithms of no-regret learning dynamics capable of solving large-scale imperfect information games. We propose implementing this…