SOURCE-LINKED INTELLIGENCE
Which Constraints Are Missing? Ask the Verifier: Graded Rewards for Constraint-Following Music Generation
Constraint-following music generation asks a score to satisfy several user-specified properties at once, each checkable programmatically (key, meter, length, range, final note, rhythm, motion and form), yet no existing benchmark isolates this capability. We construct MusicConstraintBench, 2,180 items over eight constraint families, on which current models fail once a few constraints are combined. The natural remedy is reinforcement learning with these verifiers as reward, yet we observe that a reward paid only when every property holds leaves most training groups without a learning signal: ove
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T14:22:10.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.