activity
20242026
collaborators

8 papers

cs.CL2026

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/resear…

cs.SD2026

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,…

cs.SD2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.AI2025

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…