4 papers
A Universal Avoidance Method for Diverse Multi-branch Generation
Kyeongman Park, Minha Jhang, Kyomin Jung
Modern generative models still lack human-level creativity, particularly in multi-branch diversity. Prior approaches to address this problem often incur heavy computation or strong…
Avoidance Decoding for Diverse Multi-Branch Story Generation
Kyeongman Park, Nakyeong Yang, Kyomin Jung
Large Language Models (LLMs) often generate repetitive and monotonous outputs, especially in tasks like story generation, due to limited creative diversity when given the same inpu…
MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers
Kyeongman Park, Seongho Joo, Kyomin Jung
We introduce MultiActor-Audiobook, a zero-shot approach for generating audiobooks that automatically produces consistent, expressive, and speaker-appropriate prosody, including int…
A Character-Centric Creative Story Generation via Imagination
Kyeongman Park, Minbeom Kim, Kyomin Jung
Creative story generation has long been a goal of NLP research. While existing methodologies have aimed to generate long and coherent stories, they fall significantly short of huma…