4 papers
Whole-Piece Training for Symbolic Music Language Models via Full-Horizon Compressed Recurrence
Yungang Yi, Weihua Li, Matthew Kuo +2
For computational efficiency, modern language models are typically trained on independently sampled fixed-length sequences. Symbolic music language models largely inherit this para…
Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies
Xiaodan Wang, Yanbin Liu, Shiqing Wu +4
The proliferation of online social networks has significantly reshaped the way individuals access and engage with information. While these platforms offer unprecedented connectivit…
PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation
Yungang Yi, Weihua Li, Matthew Kuo +1
AI-based music generation has made significant progress in recent years. However, generating symbolic music that is both long-structured and expressive remains a significant challe…
Towards Superior Quantization Accuracy: A Layer-sensitive Approach
Feng Zhang, Yanbin Liu, Weihua Li +3
Large Vision and Language Models have exhibited remarkable human-like intelligence in tasks such as natural language comprehension, problem-solving, logical reasoning, and knowledg…