Ethan Chern
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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
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
Alignment for honesty
Y Yang, E Chern, X Qiu, G Neubig, P Liu
arXiv preprint arXiv:2312.07000, 2023
Generative ai for math: Abel
E Chern, H Zou, X Li, J Hu, K Feng, J Li, P Liu, 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
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
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
Reformatted Alignment
RZ Fan, X Li, H Zou, J Li, S He, E Chern, J Hu, P Liu
arXiv preprint arXiv:2402.12219, 2024
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
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
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
Z Huang, Z Wang, S Xia, X Li, H Zou, R Xu, RZ Fan, L Ye, E Chern, Y Ye, ...
arXiv preprint arXiv:2406.12753, 2024
Chinesefacteval: A factuality benchmark for chinese llms
B Wang, E Chern, P Liu, 2023
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
E Chern, J Su, Y Ma, P Liu
arXiv preprint arXiv:2407.06135, 2024
BeHonest: Benchmarking Honesty of Large Language Models
S Chern, Z Hu, Y Yang, E Chern, Y Guo, J Jin, B Wang, P Liu
arXiv preprint arXiv:2406.13261, 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
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