Ho-Lam Chung

According to our database, Ho-Lam Chung authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models.

Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, 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, Jennifer Neville, Nikhil Rao

CoRR, 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

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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, Hung-Yi Lee

CoRR, 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, Abdelrahman Mohamed, Hung-yi Lee, Shinji Watanabe

CoRR, 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, Abdelrahman Mohamed, Hung-yi Lee, Shinji Watanabe

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Bridging Speech and Textual Pre-Trained Models With Unsupervised ASR.

Jiatong Shi, Chan-Jan Hsu, Ho-Lam Chung, Dongji Gao, Paola García, Shinji Watanabe, Ann Lee, Hung-Yi Lee

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

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

Misleading Inference Generation via Proximal Policy Optimization.

Hsien-Yung Peng, Ho-Lam Chung, Ying-Hong Chan, Yao-Chung Fan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

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, Abdelrahman Mohamed, Hung-yi Lee, Lin-Shan Lee

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Improving Controllability of Educational Question Generation by Keyword Provision.

Ying-Hong Chan, Ho-Lam Chung, Yao-Chung Fan

CoRR, 2021

2020

A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies.

Ho-Lam Chung, Ying-Hong Chan, Yao-Chung Fan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020