Chu-Cheng Lin

According to our database, Chu-Cheng Lin authored at least 24 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.

Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen

CoRR, 2024

Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures.

Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu

CoRR, 2024

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study.

Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Structure-Aware Path Inference for Neural Finite State Transducers.

Weiting Tan, Chu-Cheng Lin, Jason Eisner

CoRR, 2023

SiRA: Sparse Mixture of Low Rank Adaptation.

Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng

CoRR, 2023

Parameter-Efficient Multilingual Summarisation: An Empirical Study.

Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata

CoRR, 2023

UT5: Pretraining Non autoregressive T5 with unrolled denoising.

Mahmoud G. Salem, Jiayu Ye, Chu-Cheng Lin, Frederick Liu

CoRR, 2023

2022

On the Uncomputability of Partition Functions in Energy-Based Sequence Models.

Chu-Cheng Lin, Arya D. McCarthy

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Limitations of Autoregressive Models and Their Alternatives.

Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Autoregressive Modeling is Misspecified for Some Sequence Distributions.

Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner

CoRR, 2020

2019

Neural Finite-State Transducers: Beyond Rational Relations.

Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Neural Particle Smoothing for Sampling from Conditional Sequence Models.

Chu-Cheng Lin, Jason Eisner

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Actionable Email Intent Modeling With Reparametrized RNNs.

Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Actionable Email Intent Modeling with Reparametrized RNNs.

Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel

CoRR, 2017

2015

Unsupervised POS Induction with Word Embeddings.

Chu-Cheng Lin, Waleed Ammar, Chris Dyer, Lori S. Levin

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Not All Contexts Are Created Equal: Better Word Representations with Variable Attention.

Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus.

Joseph Chee Chang, Chu-Cheng Lin

CoRR, 2014

Automatic Classification of Communicative Functions of Definiteness.

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

Proceedings of the COLING 2014, 2014

The CMU Submission for the Shared Task on Language Identification in Code-Switched Data.

Chu-Cheng Lin, Waleed Ammar, Lori S. Levin, Chris Dyer

Proceedings of the First Workshop on Computational Approaches to Code Switching@EMNLP 2014, 2014

2012

A Generative Data Augmentation Model for Enhancing Chinese Dialect Pronunciation Prediction.

Chu-Cheng Lin, Richard Tzong-Han Tsai

IEEE Trans. Speech Audio Process., 2012

2010

Japanese-Chinese Information Retrieval With and Iterative Weightin g Scheme.

Chu-Cheng Lin, Yu-Chun Wang, Richard Tzong-Han Tsai

J. Inf. Sci. Eng., 2010

2009

Learning weights for translation candidates in Japanese-Chinese information retrieval.

Chu-Cheng Lin, Yu-Chun Wang, Chih-Hao Yeh, Wei-Chi Tsai, Richard Tzong-Han Tsai

Expert Syst. Appl., 2009

Modeling the Relationship among Linguistic Typological Features with Hierarchical Dirichlet Process.

Chu-Cheng Lin, Yu-Chun Wang, Richard Tzong-Han Tsai

Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, 2009

2007

Korean-Chinese Person Name Translation for Cross Language Information Retrieval.

Yu-Chun Wang, Yi-Hsun Lee, Chu-Cheng Lin, Richard Tzong-Han Tsai, Wen-Lian Hsu

Proceedings of the 21st Pacific Asia Conference on Language, Information and Computation, 2007