Michael Saxon
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Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning
X Wang, W Zhu, M Saxon, M Steyvers, WY Wang
arXiv preprint arXiv:2301.11916, 2023
Automatically correcting large language models: Surveying the landscape of diverse self-correction strategies
L Pan, M Saxon, W Xu, D Nathani, X Wang, WY Wang
arXiv preprint arXiv:2308.03188, 2023
End-to-End Spoken Language Understanding for Generalized Voice Assistants
M Saxon, S Choudhary, JP McKenna, A Mouchtaris
Interspeech 2021, 4738-4742, 2021
Objective measures of plosive nasalization in hypernasal speech
M Saxon, J Liss, V Berisha
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make
M Moore, M Saxon, H Venkateswara, V Berisha, S Panchanathan
Proc. Interspeech 2019, 2528-2532, 2019
Investigating Memorization of Conspiracy Theories in Text Generation
S Levy, M Saxon, WY Wang
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
Semantic Complexity in End-to-End Spoken Language Understanding
JP McKenna, S Choudhary, M Saxon, GP Strimel, A Mouchtaris
Proc. Interspeech 2020, 4273-4277, 2020
Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features
M Saxon, A Tripathi, Y Jiao, J Liss, V Berisha
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2511-2522, 2020
Wikiwhy: Answering and explaining cause-and-effect questions
M Ho, A Sharma, J Chang, M Saxon, S Levy, Y Lu, WY Wang
arXiv preprint arXiv:2210.12152, 2022
Word pair convolutional model for happy moment classification
M Saxon, S Bhandari, L Ruskin, G Honda
Proceedings of the 2nd Workshop on Affective Content Analysis@ AAAI …, 2019
Not all errors are equal: Learning text generation metrics using stratified error synthesis
W Xu, Y Tuan, Y Lu, M Saxon, L Li, WY Wang
arXiv preprint arXiv:2210.05035, 2022
Self-supervised knowledge assimilation for expert-layman text style transfer
W Xu, M Saxon, M Sra, WY Wang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11566 …, 2022
Causal balancing for domain generalization
X Wang, M Saxon, J Li, H Zhang, K Zhang, WY Wang
arXiv preprint arXiv:2206.05263, 2022
Multilingual Conceptual Coverage in Text-to-Image Models
M Saxon, WY Wang
Counterfactual maximum likelihood estimation for training deep networks
X Wang, W Chen, M Saxon, WY Wang
Advances in Neural Information Processing Systems 34, 25072-25085, 2021
Users are the North Star for AI Transparency
A Mei, M Saxon, S Chang, ZC Lipton, WY Wang
arXiv preprint arXiv:2303.05500, 2023
Modeling Disclosive Transparency in NLP Application Descriptions
M Saxon, S Levy, X Wang, A Albalak, WY Wang
arXiv preprint arXiv:2101.00433, 2021
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers
M Saxon, X Wang, W Xu, WY Wang
arXiv preprint arXiv:2112.09237, 2021
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech
M Moore, P Papreja, M Saxon, V Berisha, S Panchanathan
Proc. Interspeech 2020, 2532-2536, 2020
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
X Wang, W Zhu, M Saxon, M Steyvers, WY Wang
Thirty-seventh Conference on Neural Information Processing Systems, 2023
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