5 papers
iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations
Wenshuo Wang, Boyu Cao, Nan Zhuang +1
A fundamental obstacle to causal discovery from text is the lack of causally annotated text data for use as ground truth, due to high annotation costs. This motivates an important…
Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation
Boyu Cao, Lekai Qian, Dehan Li +3
Generating long sequences with structural coherence remains a fundamental challenge for autoregressive models across sequential generation tasks. In symbolic music generation, this…
Pianoroll-Event: A Novel Score Representation for Symbolic Music
Lekai Qian, Haoyu Gu, Dehan Li +2
Symbolic music representation is a fundamental challenge in computational musicology. While grid-based representations effectively preserve pitch-time spatial correspondence, their…
Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation
Nan Zhuang, Wenshuo Wang, Lekai Qian +3
Recent studies have demonstrated that some Large Language Models exhibit choice-supportive bias (CSB) when performing evaluations, systematically favoring their chosen options and…
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
Yi Yang, Haowen Li, Tianxiang Li +4
Text-to-music generation technology is progressing rapidly, creating new opportunities for musical composition and editing. However, existing music editing methods often fail to pr…