Yin-Wen Chang

According to our database, Yin-Wen Chang authored at least 14 papers between 2008 and 2025.

Collaborative distances:

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

2025

Better autoregressive regression with LLMs via regression-aware fine-tuning.

Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2021

Leveraging redundancy in attention with Reuse Transformers.

Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar

CoRR, 2021

Demystifying the Better Performance of Position Encoding Variants for Transformer.

Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng

CoRR, 2021

A Simple and Effective Positional Encoding for Transformers.

Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers.

Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pre-training Tasks for Embedding-based Large-scale Retrieval.

Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar

Proceedings of the 8th International Conference on Learning Representations, 2020

2017

A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit.

Yin-Wen Chang, Michael Collins

Trans. Assoc. Comput. Linguistics, 2017

Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms.

Yin-Wen Chang, Michael Collins

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Exact and Approximate Methods for Machine Translation Decoding.

Yin-Wen Chang

PhD thesis, 2015

2014

A Constrained Viterbi Relaxation for Bidirectional Word Alignment.

Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Optimal Beam Search for Machine Translation.

Alexander M. Rush, Yin-Wen Chang, Michael Collins

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2011

Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation.

Yin-Wen Chang, Michael Collins

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Training and Testing Low-degree Polynomial Data Mappings via Linear SVM.

Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin

J. Mach. Learn. Res., 2010

2008

Feature Ranking Using Linear SVM.

Yin-Wen Chang, Chih-Jen Lin

Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008