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Michael Saxon
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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
Advances in Neural Information Processing Systems 36, 2024
73*2024
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
502023
End-to-End Spoken Language Understanding for Generalized Voice Assistants
M Saxon, S Choudhary, JP McKenna, A Mouchtaris
Interspeech 2021, 4738-4742, 2021
182021
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
182019
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
152019
Causal Balancing for Domain Generalization
X Wang, M Saxon, J Li, H Zhang, K Zhang, WY Wang
The Eleventh International Conference on Learning Representations, https …, 2023
142023
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
12*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
122020
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
12*2020
Wikiwhy: Answering and explaining cause-and-effect questions
M Ho, A Sharma, J Chang, M Saxon, S Levy, Y Lu, WY Wang
The Eleventh International Conference on Learning Representations, 2023
92023
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
D Rose, V Himakunthala, A Ouyang, R He, A Mei, Y Lu, M Saxon, ...
arXiv preprint arXiv:2305.02317, 2023
7*2023
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
72019
Multilingual Conceptual Coverage in Text-to-Image Models
M Saxon, WY Wang
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
62023
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
62022
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
Findings of the Association for Computational Linguistics: EMNLP 2022, 6559–6574, 2022
52022
Users are the North Star for AI Transparency
A Mei, M Saxon, S Chang, ZC Lipton, WY Wang
arXiv preprint arXiv:2303.05500, 2023
42023
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
42021
Modeling Disclosive Transparency in NLP Application Descriptions
M Saxon, S Levy, X Wang, A Albalak, WY Wang
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
32021
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech
M Moore, P Papreja, M Saxon, V Berisha, S Panchanathan
Proc. Interspeech 2020, 2532-2536, 2020
32020
Let’s think frame by frame with VIP: A video infilling and prediction dataset for evaluating video chain-of-thought
V Himakunthala, A Ouyang, D Rose, R He, A Mei, Y Lu, C Sonar, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2*2023
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