Decoding of Quantum Data-Syndrome Codes via Belief Propagation. - Kao-Yueh Kuo; I-Chun Chern; Ching-Yi Lai (ISIT, 2021)

Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings. - I-Chun Chern; Kuo-Hsuan Hung; Yi-Ting Chen; Tassadaq Hussain; Mandar Gogate; Amir Hussain 001; Yu Tsao 001; Jen-Cheng Hou (CoRR, 2022)

Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings. - I-Chun Chern; Kuo-Hsuan Hung; Yi-Ting Chen; Tassadaq Hussain; Mandar Gogate; Amir Hussain 001; Yu Tsao 001; Jen-Cheng Hou (ICASSP Workshops, 2023)

Voice Direction-Of-Arrival Conversion. - I-Chun Chern; Steffi Chern; Heng-Cheng Kuo; Huan-Hsin Tseng; Kuo-Hsuan Hung; Yu Tsao 001 (MLSP, 2023)

FELM: Benchmarking Factuality Evaluation of Large Language Models. - Shiqi Chen; Yiran Zhao 006; Jinghan Zhang 006; I-Chun Chern; Siyang Gao; Pengfei Liu 003; Junxian He (NeurIPS, 2023)

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. - I-Chun Chern; Zhiruo Wang; Sanjan Das; Bhavuk Sharma; Pengfei Liu 003; Graham Neubig (CoRR, 2023)

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. - I-Chun Chern; Steffi Chern; Shiqi Chen; Weizhe Yuan; Kehua Feng; Chunting Zhou; Junxian He; Graham Neubig; Pengfei Liu 003 (CoRR, 2023)