10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.HC2025
Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses
Bongsu Kang, Jundong Kim, Tae-Rim Yun +2
This study quantitively examines which features of AI-generated text lead humans to perceive subjective consciousness in large language model (LLM)-based AI systems. Drawing on 99…
cs.CL2024★ 10 cited
Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine
Bongsu Kang, Jundong Kim, Tae-Rim Yun +1
We propose a natural language prompt-based retrieval augmented generation (Prompt-RAG), a novel approach to enhance the performance of generative large language models (LLMs) in ni…