A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies. - Ho-Lam Chung; Ying-Hong Chan; Yao-Chung Fan (EMNLP (Findings), 2020)

Improving Controllability of Educational Question Generation by Keyword Provision. - Ying-Hong Chan; Ho-Lam Chung; Yao-Chung Fan (CoRR, 2021)

DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering. - Guan-Ting Lin; Yung-Sung Chuang; Ho-Lam Chung; Shu-Wen Yang; Hsuan-Jui Chen; Shuyan Annie Dong; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Lin-Shan Lee (INTERSPEECH, 2022)

Misleading Inference Generation via Proximal Policy Optimization. - Hsien-Yung Peng; Ho-Lam Chung; Ying-Hong Chan; Yao-Chung Fan (PAKDD (1), 2022)

Few-shot Prompting Towards Controllable Response Generation. - Hsuan Su; Po-Han Chi; Shih-Cheng Huang; Ho-Lam Chung; Saurav Sahay; Shang-Tse Chen; Hung-Yi Lee (CoRR, 2022)

Towards General-Purpose Text-Instruction-Guided Voice Conversion. - Chun-Yi Kuan; Chen-An Li; Tsu-Yuan Hsu; Tse-Yang Lin; Ho-Lam Chung; Kai-Wei Chang; Shuo-Yiin Chang; Hung-Yi Lee (ASRU, 2023)

T5lephone: Bridging Speech and Text Self-Supervised Models for Spoken Language Understanding Via Phoneme Level T5. - Chan-Jan Hsu; Ho-Lam Chung; Hung-Yi Lee; Yu Tsao 001 (ICASSP, 2023)

Bridging Speech and Textual Pre-Trained Models With Unsupervised ASR. - Jiatong Shi; Chan-Jan Hsu; Ho-Lam Chung; Dongji Gao; Paola García 001; Shinji Watanabe 001; Ann Lee 001; Hung-Yi Lee (ICASSP, 2023)

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. - Jiatong Shi; Dan Berrebbi; William Chen; En-Pei Hu; Wei-Ping Huang; Ho-Lam Chung; Xuankai Chang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Shinji Watanabe 001 (INTERSPEECH, 2023)

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chung; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; et al. (CoRR, 2023)

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. - Haibin Wu; Ho-Lam Chung; Yi-Cheng Lin; Yuan-Kuei Wu; Xuanjun Chen; Yu-Chi Pai; Hsiu-Hsuan Wang; Kai-Wei Chang; Alexander H. Liu; Hung-yi Lee (ACL (Findings), 2024)

GSQA: An End-to-End Model for Generative Spoken Question Answering. - Min-Han Shih; Ho-Lam Chung; Yu-Chi Pai; Ming-Hao Hsu; Guan-Ting Lin; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2024)

Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models. - Haibin Wu; Xuanjun Chen; Yi-Cheng Lin; Kaiwei Chang; Jiawei Du; Ke-Han Lu; Alexander H. Liu; Ho-Lam Chung; Yuan-Kuei Wu; Dongchao Yang; Songxiang Liu; Yi-Chiao Wu; et al. (SLT, 2024)

Towards audio language modeling - an overview. - Haibin Wu; Xuanjun Chen; Yi-Cheng Lin; Kai-Wei Chang; Ho-Lam Chung; Alexander H. Liu; Hung-yi Lee (CoRR, 2024)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents. - Corby Rosset; Ho-Lam Chung; Guanghui Qin; Ethan C. Chau; Zhuo Feng; Ahmed Awadallah 001; Jennifer Neville; Nikhil Rao 001 (CoRR, 2024)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt. - Chih-Kai Yang; Yu-Kuan Fu; Chen-An Li; Yi-Cheng Lin; Yu-Xiang Lin; Wei-Chih Chen; Ho-Lam Chung; Chun-Yi Kuan; Wei-Ping Huang; Ke-Han Lu; Tzu-Quan Lin; Hsiu-Hsuan Wang; et al. (CoRR, 2024)

Handover QG: Question Generation by Decoder Fusion and Reinforcement Learning. - Ho-Lam Chung; Ying-Hong Chan; Yao-Chung Fan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. - Corbin Rosset; Ho-Lam Chung; Guanghui Qin; Ethan C. Chau; Zhuo Feng; Ahmed Awadallah 001; Jennifer Neville; Nikhil Rao 001 (SIGIR, 2025)

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation - Challenges and Insights. - Chan-Jan Hsu; Yi-Cheng Lin; Chia-Chun Lin; Wei-Chih Chen; Ho-Lam Chung; Chen-An Li; Yi-Chang Chen; Chien-Yu Yu; Ming-Ji Lee; Chien-Cheng Chen; Ru-Heng Huang; Hung-yi Lee; et al. (CoRR, 2025)

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning. - Ho-Lam Chung; Teng-Yun Hsiao; Hsiao-Ying Huang; Chunerh Cho; Jian-Ren Lin; Zhang Ziwei; Yun-Nung Chen (CoRR, 2025)

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data. - Cheng-Kang Chou; Chan-Jan Hsu; Ho-Lam Chung; Liang-Hsuan Tseng; Hsi-Chun Cheng; Yu-Kuan Fu; Kuan-Po Huang; Hung-Yi Lee (CoRR, 2025)