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Chu-Cheng Lin
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2020 – today
- 2024
- [i11]Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu:
Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures. CoRR abs/2402.17934 (2024) - [i10]Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen:
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR abs/2405.16178 (2024) - 2023
- [i9]Mahmoud G. Salem, Jiayu Ye, Chu-Cheng Lin, Frederick Liu:
UT5: Pretraining Non autoregressive T5 with unrolled denoising. CoRR abs/2311.08552 (2023) - [i8]Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata:
Parameter-Efficient Multilingual Summarisation: An Empirical Study. CoRR abs/2311.08572 (2023) - [i7]Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng:
SiRA: Sparse Mixture of Low Rank Adaptation. CoRR abs/2311.09179 (2023) - [i6]Weiting Tan, Chu-Cheng Lin, Jason Eisner:
Structure-Aware Path Inference for Neural Finite State Transducers. CoRR abs/2312.13614 (2023) - 2022
- [c11]Chu-Cheng Lin, Arya D. McCarthy:
On the Uncomputability of Partition Functions in Energy-Based Sequence Models. ICLR 2022 - 2021
- [c10]Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Limitations of Autoregressive Models and Their Alternatives. NAACL-HLT 2021: 5147-5173 - 2020
- [i5]Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Autoregressive Modeling is Misspecified for Some Sequence Distributions. CoRR abs/2010.11939 (2020)
2010 – 2019
- 2019
- [c9]Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner:
Neural Finite-State Transducers: Beyond Rational Relations. NAACL-HLT (1) 2019: 272-283 - 2018
- [c8]Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel:
Actionable Email Intent Modeling With Reparametrized RNNs. AAAI 2018: 4856-4864 - [c7]Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. NAACL-HLT 2018: 929-941 - [i4]Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. CoRR abs/1804.10747 (2018) - 2017
- [i3]Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel:
Actionable Email Intent Modeling with Reparametrized RNNs. CoRR abs/1712.09185 (2017) - 2015
- [c6]Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin:
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. EMNLP 2015: 1367-1372 - [c5]Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori S. Levin
:
Unsupervised POS Induction with Word Embeddings. HLT-NAACL 2015: 1311-1316 - [i2]Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori S. Levin:
Unsupervised POS Induction with Word Embeddings. CoRR abs/1503.06760 (2015) - 2014
- [c4]Chu-Cheng Lin, Waleed Ammar, Lori S. Levin, Chris Dyer:
The CMU Submission for the Shared Task on Language Identification in Code-Switched Data. CodeSwitch@EMNLP 2014: 80-86 - [c3]Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer:
Automatic Classification of Communicative Functions of Definiteness. COLING 2014: 1059-1070 - [i1]Joseph Chee Chang, Chu-Cheng Lin:
Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus. CoRR abs/1412.4314 (2014) - 2012
- [j3]Chu-Cheng Lin, Richard Tzong-Han Tsai
:
A Generative Data Augmentation Model for Enhancing Chinese Dialect Pronunciation Prediction. IEEE Trans. Speech Audio Process. 20(4): 1109-1117 (2012) - 2010
- [j2]Chu-Cheng Lin, Yu-Chun Wang, Richard Tzong-Han Tsai:
Japanese-Chinese Information Retrieval With and Iterative Weightin g Scheme. J. Inf. Sci. Eng. 26(2): 685-697 (2010)
2000 – 2009
- 2009
- [j1]Chu-Cheng Lin, Yu-Chun Wang, Chih-Hao Yeh, Wei-Chi Tsai, Richard Tzong-Han Tsai
:
Learning weights for translation candidates in Japanese-Chinese information retrieval. Expert Syst. Appl. 36(4): 7695-7699 (2009) - [c2]Chu-Cheng Lin, Yu-Chun Wang, Richard Tzong-Han Tsai:
Modeling the Relationship among Linguistic Typological Features with Hierarchical Dirichlet Process. PACLIC 2009: 741-747 - 2007
- [c1]Yu-Chun Wang, Yi-Hsun Lee, Chu-Cheng Lin, Richard Tzong-Han Tsai, Wen-Lian Hsu:
Korean-Chinese Person Name Translation for Cross Language Information Retrieval. PACLIC 2007
Coauthor Index
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last updated on 2024-07-05 20:12 CEST by the dblp team
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