AI-Generated Fiction
AI-Generated Fiction examines the creative potential of artificial intelligence in storytelling.
The project uses AI models to produce narratives, exploring how machines can emulate human-like imagination.
By analyzing AI-authored stories, it questions notions of originality and creativity,
and asks what it means to be an “author” when a narrative is machine-made.
Ultimately, this research sheds light on the evolving relationship
between human writers and intelligent algorithms in literature.
Dongryul Oh, Sujin Kang, Heejin Kim, and Dongsuk Oh
Applied Sciences 15.5 (2025): 919–933
Small language models (SLMs) are increasingly utilized for on-device applications due to their ability to ensure user privacy, reduce inference latency, and operate independently of cloud infrastructure. However, their performance is often limited when processing complex data structures …
Keywords:
small language model (SLM), on-device AI, graph neural network (GNN), graph transformer, graph convolutional network (GCN) …
Sungeun Kim, Jakyung Kim, and Dongsuk Oh
Journal of Digital Contents Society 25.9 (2024): 2479-2490
Large language models (LLMs) have demonstrated competitive performance across various domains, particularly in tasks requiring creativity, and thus offer a wide range of applications. This study evaluates the performance of large language models (LLMs), such as GPT-4, in generating creative …
Keywords:
GPT-4, Large Language Models (LLMs), Creative Writing, Creative Contents, Creativity Evaluation