Music Question Answering
3 papers with code • 1 benchmarks • 2 datasets
MMVP
Most implemented papers
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
We present LLaMA-Adapter, a lightweight adaption method to efficiently fine-tune LLaMA into an instruction-following model.
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
To fill this gap, we present a methodology for generating question-answer pairs from existing audio captioning datasets and introduce the MusicQA Dataset designed for answering open-ended music-related questions.
Listen, Think, and Understand
YuanGongND/ltu
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On the other hand, modern large language models (LLMs) exhibit emerging reasoning ability but they lack audio perception capabilities.
