I-Chun Chern

According to our database, I-Chun Chern authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

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

CoRR, 2023

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning.

I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig

CoRR, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Voice Direction-Of-Arrival Conversion.

I-Chun Chern, Steffi Chern, Heng-Cheng Kuo, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

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, Yu Tsao, Jen-Cheng Hou

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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, Yu Tsao, Jen-Cheng Hou

CoRR, 2022

2021

Decoding of Quantum Data-Syndrome Codes via Belief Propagation.

Kao-Yueh Kuo, I-Chun Chern, Ching-Yi Lai

Proceedings of the IEEE International Symposium on Information Theory, 2021