Author

Yang Yang

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#artificial intelligence Review Oct 2026

MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent

Text-to-music systems produce increasingly convincing audio, yet evaluation reveals little about whether the result matches user intent. A global text-audio relevance score can overlook the implicit intent in underspecified prompts and mask failures in specific requirements, such as instrumentation, structure, rhythm,...

Ze-Kai Liu, Zhi-Lin Wang, Xu-Zheng He et al. · 0 citations

#artificial intelligence Preprint Sep 2026

SAGE: A Statistical Acceptance Gate for Self-Evolving Agents

SAGE is a conservative refinement of the standard gate that recovers the baseline exactly at a boundary setting, and employs a one-sided paired test that commits an edit only when its wins are statistically reliable against its losses, and it abstains otherwise.

Yi-Hao Wang, Lin-Han Xia, Rui Liu et al. · 0 citations

Preprint Aug 2026

Structure-Aware Semantic Chunking with Title-Chain Prefixes: A 1600-Query Evaluation and the Measurement Trap in Text-Transform Ablations

A three-stage, chunk-side-only semantic chunking pipeline---header-split, semantic merge, and title-chain prefixing---that costs zero additional LLM calls is presented, where the title chain reuses the document's own header hierarchy instead of a generated summary.

Yang Yang · 1 citation