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cs.LG2026
Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation
Yun-Chen Cheng, Tzu-Hung Huang, Chih-Pin Tan
State-of-the-art text-to-music generation systems rely on massive proprietary datasets and industrial-scale compute, making it impossible to disentangle architectural contributions…
cs.LG2025
Time-Shifted Token Scheduling for Symbolic Music Generation
Ting-Kang Wang, Chih-Pin Tan, Yi-Hsuan Yang
Symbolic music generation faces a fundamental trade-off between efficiency and quality. Fine-grained tokenizations achieve strong coherence but incur long sequences and high comple…