Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously. - Cheng-Han Chiang; Wei-Ping Huang; Hung-yi Lee (INTERSPEECH, 2023)

Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations. - Cheng-Han Chiang; Hung-yi Lee (ACL (Findings), 2024)

Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations. - Guan-Ting Lin; Cheng-Han Chiang; Hung-yi Lee (ACL (1), 2024)

Over-Reasoning and Redundant Calculation of Large Language Models. - Cheng-Han Chiang; Hung-yi Lee (EACL (2), 2024)

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course. - Cheng-Han Chiang; Wei-Chih Chen; Chun-Yi Kuan; Chienchou Yang; Hung-yi Lee (EMNLP, 2024)

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR. - Liang-Hsuan Tseng; En-Pei Hu; Cheng-Han Chiang; Yuan Tseng; Hung-yi Lee; Lin-Shan Lee; Shao-Hua Sun (NeurIPS, 2024)

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge. - Cheng-Han Chiang; Hung-yi Lee; Michal Lukasik (ACL (1), 2025)

Audio-Aware Large Language Models as Judges for Speaking Styles. - Cheng-Han Chiang; Xiaofei Wang; Chung-Ching Lin; Kevin Lin; Linjie Li; Radu Kopetz; Yao Qian; Zhendong Wang; Zhengyuan Yang; Hung-yi Lee; Lijuan Wang (CoRR, 2025)

Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding. - Tzu-Wen Hsu; Ke-Han Lu; Cheng-Han Chiang; Hung-yi Lee (CoRR, 2025)

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. - Ke-Han Lu; Zhehuai Chen; Szu-Wei Fu; Chao-Han Huck Yang; Sung-Feng Huang; Chih-Kai Yang; Chee-En Yu; Chun-Wei Chen; Wei-Chih Chen; Chien-yu Huang; Yi-Cheng Lin; Yu-Xiang Lin; et al. (CoRR, 2025)

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models. - Cheng-Han Chiang; Xiaofei Wang; Linjie Li; Chung-Ching Lin; Kevin Lin; Shujie Liu 001; Zhendong Wang; Zhengyuan Yang; Hung-yi Lee; Lijuan Wang (CoRR, 2025)