2 citations · 2 across the 10 of their papers we have counts for
11 papers
MIDI-REPA: Improving Text-to-Music Generation with Symbolic Representation Alignment
Song-Ze Yu, Fang-Duo Tsai, Yi-Hsuan Yang
State-of-the-art text-to-music models increasingly rely on scaling model capacity, data, and compute, while still learning musical structure directly from dense audio. Yet melody,…
Unifying Score and Performance for Fine-Grained Music Understanding in Audio-Language Models
Milan Liessens Dujardin, Song-Ze Yu, Kevin Miao
Large audio language models (LALMs) have shown promising progress in broad music-understanding tasks such as tagging, retrieval, and captioning. Music understanding that requires f…
Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation
Song-Ze Yu, Joseph Suh, Serina Chang +1
We present Anamnesis, an interactive system for demographically controllable survey simulation using large language models. Open-source and designed for non-technical users/researc…
MuSP-Bench: Advanced Multimodal Benchmarking of Music Understanding across Score and Performance
Milan Liessens Dujardin, Song-Ze Yu, Kevin Miao
Musicians commonly communicate musical intent through scores and performances. To investigate whether models can reason across both modalities, we introduce MuSP-Bench, a human-aut…
InstructFX2FX: A Multi-Turn Text-to-Effect System for Sequential Audio Effect Refinement
Song-Ze Yu, Milan Liessens Dujardin, Yuxuan Cai +4
We present InstructFX2FX, a system for sequential audio effect refinement through multi-turn natural-language instructions. Existing text-to-effect systems are largely single-shot,…
PitchBench: Measuring Pitch Hearing in Audio-Language Models
Milan Liessens Dujardin, Song-Ze Yu, Craver Corbyn Thomas-Smith +2
Audio-language models (ALMs) are increasingly used in real-world applications that require understanding music, from music tutoring and transcription to captioning, recommendation…
EP-GRPO: Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance
Song Yu, Li Li, Wenwen Zhao +1
Reinforcement learning with verifiable rewards (RLVR), particularly Group Relative Policy Optimization (GRPO), has advanced LLM reasoning. However, GRPO suffers from three credit a…
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
Song Yu, Li Li, Wenwen Zhao +1
Reinforcement learning from verifiable rewards has significantly advanced the reasoning capabilities of large language models. However, Group Relative Policy Optimization (GRPO) ty…
Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
Song Yu, Xiaofei Xu, Ke Deng +2
Large language models (LLMs) face persistent challenges when handling long-context tasks, most notably the lost in the middle issue, where information located in the middle of a lo…
From Sound to Setting: AI-Based Equalizer Parameter Prediction for Piano Tone Replication
Song-Ze Yu
This project presents an AI-based system for tone replication in music production, focusing on predicting EQ parameter settings directly from audio features. Unlike traditional aud…
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
Song Yu, Xiaofei Xu, Fangfei Xu +1
Although large language models perform well in understanding and responding to user intent, their performance in specialized domains such as Traditional Chinese Medicine (TCM) rema…