33 citations · 53 across the 12 of their papers we have counts for
4 papers · 1 filter
Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
Yoonsu Kim, Kihoon Son, Seoyoung Kim +1
AI intent alignment, ensuring that AI produces outcomes as intended by users, is a critical challenge in human-AI interaction. The emergence of generative AI, including LLMs, has i…
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
Yoonjoo Lee, Kihoon Son, Tae Soo Kim +4
As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may corre…
Unveiling Disparities in Web Task Handling Between Human and Web Agent
Kihoon Son, Jinhyeon Kwon, DaEun Choi +4
With the advancement of Large-Language Models (LLMs) and Large Vision-Language Models (LVMs), agents have shown significant capabilities in various tasks, such as data analysis, ga…
Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and Guidelines
Kihoon Son, DaEun Choi, Tae Soo Kim +1
Despite the growing demand for professional graphic design knowledge, the tacit nature of design inhibits knowledge sharing. However, there is a limited understanding on the charac…