FacTool: Factuality Detection in Generative AI--A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios IC Chern, S Chern, S Chen, W Yuan, K Feng, C Zhou, J He, G Neubig, ... arXiv preprint arXiv:2307.13528, 2023 | 60 | 2023 |
FELM: Benchmarking Factuality Evaluation of Large Language Models S Chen, Y Zhao, J Zhang, IC Chern, S Gao, P Liu, J He NeurIPS 2023, 2023 | 23 | 2023 |
Alignment for honesty Y Yang, E Chern, X Qiu, G Neubig, P Liu arXiv preprint arXiv:2312.07000, 2023 | 20 | 2023 |
Decoding of quantum data-syndrome codes via belief propagation KY Kuo, IC Chern, CY Lai 2021 IEEE International Symposium on Information Theory (ISIT), 1552-1557, 2021 | 13 | 2021 |
Generative ai for math: Abel E Chern, H Zou, X Li, J Hu, K Feng, J Li, P Liu https://github.com/GAIR-NLP/abel, 2023 | 10 | 2023 |
Audio-visual speech enhancement and separation by utilizing multi-modal self-supervised embeddings IC Chern, KH Hung, YT Chen, T Hussain, M Gogate, A Hussain, Y Tsao, ... 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 9* | 2023 |
Align on the Fly: Adapting Chatbot Behavior to Established Norms C Xu, S Chern, E Chern, G Zhang, Z Wang, R Liu, J Li, J Fu, P Liu arXiv preprint arXiv:2312.15907, 2023 | 4 | 2023 |
Reformatted Alignment RZ Fan, X Li, H Zou, J Li, S He, E Chern, J Hu, P Liu arXiv preprint arXiv:2402.12219, 2024 | 2 | 2024 |
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning IC Chern, Z Wang, S Das, B Sharma, P Liu, G Neubig The Third Workshop on Trustworthy Natural Language Processing @ ACL 2023, 2023 | 2* | 2023 |
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate S Chern, E Chern, G Neubig, P Liu arXiv preprint arXiv:2401.16788, 2024 | 1 | 2024 |
Voice Direction-Of-Arrival Conversion IC Chern, S Chern, HC Kuo, HH Tseng, KH Hung, Y Tsao 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | | 2023 |