3 citations · 5 across the 4 of their papers we have counts for
4 papers
"There Is No Such Thing as a Dumb Question," But There Are Good Ones
Minjung Shin, Donghyun Kim, Jeh-Kwang Ryu
Questioning has become increasingly crucial for both humans and artificial intelligence, yet there remains limited research comprehensively assessing question quality. In response,…
CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models
Minjung Shin, Donghyun Kim, Jeh-Kwang Ryu
We introduce the Curious About Uncertain Scene (CAUS) dataset, designed to enable Large Language Models, specifically GPT-4, to emulate human cognitive processes for resolving unce…
Toward a Human-Level Video Understanding Intelligence
Yu-Jung Heo, Minsu Lee, Seongho Choi +5
We aim to develop an AI agent that can watch video clips and have a conversation with human about the video story. Developing video understanding intelligence is a significantly ch…
CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
Minjung Shin, Seongho Choi, Yu-Jung Heo +3
We introduce CogME, a cognition-inspired, multi-dimensional evaluation metric designed for AI models focusing on story understanding. CogME is a framework grounded in human thinkin…