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2020 – today
- 2023
[c4]I-Chun Chern, Kuo-Hsuan Hung, Yi-Ting Chen, Tassadaq Hussain, Mandar Gogate, Amir Hussain, Yu Tsao, Jen-Cheng Hou:
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings. ICASSP Workshops 2023: 1-5- [c3]I-Chun Chern, Steffi Chern, Heng-Cheng Kuo, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao:
Voice Direction-Of-Arrival Conversion. MLSP 2023: 1-6 - [c2]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. NeurIPS 2023 - [i5]I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - [i4]I-Chun Chern, Steffi Chern, Shiqi Chen
, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu:
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i3]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. CoRR abs/2310.00741 (2023) - 2022
- [i2]I-Chun Chern, Kuo-Hsuan Hung, Yi-Ting Chen, Tassadaq Hussain, Mandar Gogate, Amir Hussain, Yu Tsao, Jen-Cheng Hou:
Audio-Visual Speech Enhancement and Separation by Leveraging Multi-Modal Self-Supervised Embeddings. CoRR abs/2210.17456 (2022) - 2021
- [c1]Kao-Yueh Kuo, I-Chun Chern, Ching-Yi Lai:
Decoding of Quantum Data-Syndrome Codes via Belief Propagation. ISIT 2021: 1552-1557 - [i1]Kao-Yueh Kuo, I-Chun Chern, Ching-Yi Lai:
Decoding of Quantum Data-Syndrome Codes via Belief Propagation. CoRR abs/2102.01984 (2021)
Coauthor Index
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