4 papers
CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support
Masahiro Yoshida, Bingxuan Li, Songyan Zhao +4
We propose CoLyricist, an AI-assisted lyric writing tool designed to support the typical workflows of experienced lyricists and enhance their creative efficiency. While lyricists h…
REFFLY: Melody-Constrained Lyrics Editing Model
Songyan Zhao, Bingxuan Li, Yufei Tian +1
Automatic melody-to-lyric (M2L) generation aims to create lyrics that align with a given melody. While most previous approaches generate lyrics from scratch, revision, editing plai…
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
Xueqing Wu, Zongyu Lin, Songyan Zhao +4
Visual programs are executable code generated by large language models to address visual reasoning problems. They decompose complex questions into multiple reasoning steps and invo…
Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
Nick Bryan-Kinns, Bingyuan Zhang, Songyan Zhao +1
Generative AI models for music and the arts in general are increasingly complex and hard to understand. The field of eXplainable AI (XAI) seeks to make complex and opaque AI models…