OpenMU: Your Swiss Army Knife for Music Understanding
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Abstract (arXiv)
We present OpenMU-Bench, a large-scale benchmark suite for addressing the data scarcity issue in training multimodal language models to understand music. To construct OpenMU-Bench, we leveraged existing datasets and bootstrapped new annotations. OpenMU-Bench also broadens the scope of music understanding by including lyrics understanding and music tool usage. Using OpenMU-Bench, we trained our music understanding model, OpenMU, with extensive ablations, demonstrating that OpenMU outperforms baseline models such as MU-Llama. Both OpenMU and OpenMU-Bench are open-sourced to facilitate future research in music understanding and to enhance creative music production efficiency.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 52 of its 70 references that are in the map. First posted on arXiv 21 Oct 2024.
Builds on
52 of 70 references.
References · 52
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38 more
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50 most cited of 52 All 52 (JSON)
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Citing papers per year: 2025: 5; 2026: 4.
9 papers.
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Surveycited by 39
- 2025FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusioncited by 6
- 2025Music Audio-Visual Question Answering Requires Specialized Multimodal Designscited by 4
- 2025DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuningcited by 2
- 2026Rethinking Music Captioning with Music Metadata LLMscited by 2
- 2025Cross-Modal Learning for Music-to-Music-Video Description Generationcited by 1
- 2026Speech-Worthy Alignment for Japanese SpeechLLMs via Direct Preference Optimizationcited by 0
- 2026EvA: An Evidence-First Audio Understanding Paradigm for LALMscited by 0
- 2026Beyond Binary Instrument QA: Probing Instrument Grounding in Music Audio-Language Modelscited by 0
- 2026Beyond Binary Instrument QA: Probing Instrument Grounding in Music Audio-Language Models30 Jun 2026
- 2026EvA: An Evidence-First Audio Understanding Paradigm for LALMs29 Mar 2026
- 2026Speech-Worthy Alignment for Japanese SpeechLLMs via Direct Preference Optimization13 Mar 2026
- 2026Rethinking Music Captioning with Music Metadata LLMs3 Feb 2026
- 2025FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion1 Jun 2025
- 2025Music Audio-Visual Question Answering Requires Specialized Multimodal Designs27 May 2025
- 2025Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey21 May 2025
- 2025Cross-Modal Learning for Music-to-Music-Video Description Generation14 Mar 2025
- 2025DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning18 Feb 2025
Similar, not cited
Close in wording, no citation either way
- 2025Music Flamingo: Scaling Music Understanding in Audio Language Models
- 2026MuSP-Bench: Advanced Multimodal Benchmarking of Music Understanding across Score and Performance ↗
- 2024MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
- 2026MIDI-LLaMA: An Instruction-Following Multimodal LLM for Symbolic Music Understanding
- 2026BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning
- 2025Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores
- 2025MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models
- 2025WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning