2 citations · 2 across the 5 of their papers we have counts for
8 papers
Understanding Human-Multi-Agent Team Formation for Creative Work
Hyunseung Lim, Dasom Choi, Sooyohn Nam +2
Team-based collaboration is a cornerstone of modern creative work. Recent advances in generative AI open possibilities for humans to collaborate with multiple AI agents in distinct…
AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI
Chae-Gyun Lim, Seung-Ho Han, EunYoung Byun +51
The rapid evolution of generative AI necessitates robust safety evaluations. However, current safety datasets are predominantly English-centric, failing to capture specific risks i…
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
Hyunseung Lim, Sooyohn Nam, Sungmin Na +7
Patent examination remains an ongoing challenge in the NLP literature even after the advent of large language models (LLMs), as it requires an extensive yet nuanced human judgment…
Culture is Everywhere: A Call for Intentionally Cultural Evaluation
Juhyun Oh, Inha Cha, Michael Saxon +3
The prevailing ``trivia-centered paradigm'' for evaluating the cultural alignment of large language models (LLMs) is increasingly inadequate as these models become more advanced an…
Feed-O-Meter: Investigating AI-Generated Mentee Personas as Interactive Agents for Scaffolding Design Feedback Practice
Hyunseung Lim, Dasom Choi, DaEun Choi +2
Effective feedback, including critique and evaluation, helps designers develop design concepts and refine their ideas, supporting informed decision-making throughout the iterative…
A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant
Sunjun Kweon, Sooyohn Nam, Hyunseung Lim +2
Virtual Teaching Assistants (VTAs) powered by Large Language Models (LLMs) have the potential to enhance student learning by providing instant feedback and facilitating multi-turn…