How Far Should Tokenization Go? Predictive Effectiveness and Relational Losslessness
cs.LG, cs.AI, cs.SD
Submitted: 2026-08-18
Updated: 2026-08-28
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation
- Music Transformer
- MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding
- Effective Context in Transformers: An Analysis of Fragmentation and Tokenization
- BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
- Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
- MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
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