Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. - Ting-Rui Chiang; Yun-Nung Chen (NAACL-HLT (1), 2019)

An Empirical Study of Content Understanding in Conversational Question Answering. - Ting-Rui Chiang; Hao-Tong Ye; Yun-Nung Chen (AAAI, 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)

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)

Relating Neural Text Degeneration to Exposure Bias. - Ting-Rui Chiang; Yun-Nung Chen (BlackboxNLP@EMNLP, 2021)

Why Can You Lay Off Heads? Investigating How BERT Heads Transfer. - Ting-Rui Chiang; Yun-Nung Chen (CoRR, 2021)

Improving Dialogue State Tracking by Joint Slot Modeling. - Ting-Rui Chiang; Yi-Ting Yeh (CoRR, 2021)

On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias. - Ting-Rui Chiang (CoRR, 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)

Breaking Down Multilingual Machine Translation. - Ting-Rui Chiang; Yi-Pei Chen 001; Yi-Ting Yeh; Graham Neubig (ACL (Findings), 2022)

DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit. - Jessica Huynh; Ting-Rui Chiang; Jeffrey P. Bigham; Maxine Eskénazi (LREC, 2022)

The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. - Ting-Rui Chiang; Dani Yogatama (EMNLP, 2023)

On a Benefit of Masked Language Model Pretraining: Robustness to Simplicity Bias. - Ting-Rui Chiang (IJCNLP (1), 2023)

On Retrieval Augmentation and the Limitations of Language Model Training. - Ting-Rui Chiang; Xinyan Yu 001; Joshua Robinson; Ollie Liu; Isabelle Lee; Dani Yogatama (NAACL (Short Papers), 2024)

Understanding In-Context Learning with a Pelican Soup Framework. - Ting-Rui Chiang; Dani Yogatama (CoRR, 2024)

LocateBench: Evaluating the Locating Ability of Vision Language Models. - Ting-Rui Chiang; Joshua Robinson; Xinyan Velocity Yu; Dani Yogatama (CoRR, 2024)

The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval. - Ting-Rui Chiang; Dani Yogatama (ACL (Findings), 2025)