Ting-Rui Chiang

According to our database, Ting-Rui Chiang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

LocateBench: Evaluating the Locating Ability of Vision Language Models.

Ting-Rui Chiang, Joshua Robinson, Xinyan Velocity Yu, Dani Yogatama

CoRR, 2024

Understanding In-Context Learning with a Pelican Soup Framework.

Ting-Rui Chiang, Dani Yogatama

CoRR, 2024

On Retrieval Augmentation and the Limitations of Language Model Training.

Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2023

On a Benefit of Masked Language Model Pretraining: Robustness to Simplicity Bias.

Ting-Rui Chiang

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining.

Ting-Rui Chiang, Dani Yogatama

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit.

Jessica Huynh, Ting-Rui Chiang, Jeffrey P. Bigham, Maxine Eskénazi

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Breaking Down Multilingual Machine Translation.

Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Are you doing what I say? On modalities alignment in ALFRED.

Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang

CoRR, 2021

On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias.

Ting-Rui Chiang

CoRR, 2021

Improving Dialogue State Tracking by Joint Slot Modeling.

Ting-Rui Chiang, Yi-Ting Yeh

CoRR, 2021

Why Can You Lay Off Heads? Investigating How BERT Heads Transfer.

Ting-Rui Chiang, Yun-Nung Chen

CoRR, 2021

Relating Neural Text Degeneration to Exposure Bias.

Ting-Rui Chiang, Yun-Nung Chen

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection.

Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen

Comput. Speech Lang., 2020

Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer.

Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen

Comput. Speech Lang., 2020

An Empirical Study of Content Understanding in Conversational Question Answering.

Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems.

Ting-Rui Chiang, Yun-Nung Chen

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