3 papers
cs.SD2026
Academic Text-to-Music Grand Challenge: Datasets, Baselines, and Evaluation Methods
Fang-Chih Hsieh, Wei-Jaw Lee, Chun-Ping Wang +3
This paper presents an overview and the technical framework of the ICME 2026 Grand Challenge on Academic Text-to-Music Generation (ATTM). Despite the rapid progress in text-to-musi…
cs.CL2025
Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
Juncheng Xie, Hung-yi Lee
Controlling the length of text produced by large language models (LLMs) remains challenging: models frequently overshoot or undershoot explicit length instructions because they can…
cs.CL2024
Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data
Juncheng Xie, Shensian Syu, Hung-yi Lee
Instruction fine-tuning is crucial for today's large language models (LLMs) to learn to follow instructions and align with human preferences. Conventionally, supervised data, inclu…