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Meng Yang

4 papers hereh-index 241 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.HC1
  • cs.MM1
  • cs.SD1
same name
  • Meng Yang — 13 papers, h 5
  • Meng Yang — 10 papers, h 18
  • Meng Yang — 10 papers, h 5
  • Meng Yang — 8 papers, h 8
  • Meng Yang — 8 papers, h 6
  • Meng Yang — 7 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedIs Writing Prompts Really Making Art?

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.MM2026

MIDI-LLaMA: An Instruction-Following Multimodal LLM for Symbolic Music Understanding

Meng Yang, Jon McCormack, Maria Teresa Llano +2

Recent advances in multimodal large language models (MLLM) for audio music have demonstrated strong capabilities in music understanding, yet symbolic music, a fundamental represent…

cs.SD2025

Exploring the Feasibility of LLMs for Automated Music Emotion Annotation

Meng Yang, Jon McCormack, Maria Teresa Llano +1

Current approaches to music emotion annotation remain heavily reliant on manual labelling, a process that imposes significant resource and labour burdens, severely limiting the sca…

cs.HC2024

Exploring Real-Time Music-to-Image Systems for Creative Inspiration in Music Creation

Meng Yang, Maria Teresa Llano, Jon McCormack

This paper presents a study on the use of a real-time music-to-image system as a mechanism to support and inspire musicians during their creative process. The system takes MIDI mes…

cs.CY2023★ 2 cited

Is Writing Prompts Really Making Art?

Jon McCormack, Camilo Cruz Gambardella, Nina Rajcic +3

In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D dat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.