arXiv (All)
open access
From One-Shot Generation to Incremental Music Composition: Adapting a General-Purpose Instruction LLM for Persistent Symbolic Editing
Most music-generation systems are still framed and evaluated primarily as producers of complete outputs, whereas composition often proceeds through successive revisions to a shared musical artifact. This paper studies a different use of a general-purpose instruction-following large language model: n
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Open-Qwen-Music: An Auditable Framework for LLM-Based Music Composition and Diffusion Rendering#1115608
- Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?#1064789
- UOT-IR: Structured Routing of High-Polyphony Symbolic Music into Fixed-Budget Representations#610014
- UOT-IR: Structured Routing of High-Polyphony Symbolic Music into Fixed-Budget Representations#608952
- Inferring Value Criteria from Ordinal Preferences: An Iterative In-Context Learning Framework for Music Generation#818749
Record · ID 1129598
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive