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Conference and Workshop Papers
- 2024
[c11]Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang:
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. LREC/COLING 2024: 5132-5139- [c10]Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli:
Contextual Biasing of Named-Entities with Large Language Models. ICASSP 2024: 10151-10155 - [c9]Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli:
Recovering from Privacy-Preserving Masking with Large Language Models. ICASSP 2024: 10771-10775 - [c8]Yingyi Ma, Zhe Liu, Ozlem Kalinli:
Correction Focused Language Model Training For Speech Recognition. ICASSP 2024: 10856-10860 - [c7]Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Effective Internal Language Model Training and Fusion for Factorized Transducer Model. ICASSP 2024: 12687-12691 - 2023
- [c6]Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang:
PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation. EMNLP (Findings) 2023: 11314-11328 - [c5]Yingyi Ma, Zhe Liu, Xuedong Zhang:
Adaptive Multi-Corpora Language Model Training for Speech Recognition. ICASSP 2023: 1-5 - 2022
- [c4]Yingyi Ma, Xinhua Zhang:
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. AISTATS 2022: 7286-7299 - 2020
- [c3]Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang:
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. ICML 2020: 6532-6542 - [c2]Mao Li, Yingyi Ma, Xinhua Zhang:
Proximal Mapping for Deep Regularization. NeurIPS 2020 - 2019
- [c1]Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang:
Learning Invariant Representations with Kernel Warping. AISTATS 2019: 1003-1012
Informal and Other Publications
- 2024
- [i7]Jinxi Guo, Niko Moritz, Yingyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Effective internal language model training and fusion for factorized transducer model. CoRR abs/2404.01716 (2024) - 2023
- [i6]Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli:
Contextual Biasing of Named-Entities with Large Language Models. CoRR abs/2309.00723 (2023) - [i5]Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli:
Recovering from Privacy-Preserving Masking with Large Language Models. CoRR abs/2309.08628 (2023) - [i4]Yingyi Ma, Zhe Liu, Ozlem Kalinli:
Correction Focused Language Model Training for Speech Recognition. CoRR abs/2310.11003 (2023) - 2022
- [i3]Yingyi Ma, Zhe Liu, Xuedong Zhang:
Adaptive Multi-Corpora Language Model Training for Speech Recognition. CoRR abs/2211.05121 (2022) - 2020
- [i2]Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang:
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. CoRR abs/2004.12209 (2020) - [i1]Mao Li, Yingyi Ma, Xinhua Zhang:
Proximal Mapping for Deep Regularization. CoRR abs/2006.07822 (2020)
Coauthor Index
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