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2020 – today
- 2024
[c8]Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama:
On Retrieval Augmentation and the Limitations of Language Model Training. NAACL (Short Papers) 2024: 229-238- [i14]Ting-Rui Chiang, Dani Yogatama:
Understanding In-Context Learning with a Pelican Soup Framework. CoRR abs/2402.10424 (2024) - 2023
- [c7]Ting-Rui Chiang, Dani Yogatama:
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. EMNLP 2023: 10305-10321 - [c6]Ting-Rui Chiang:
On a Benefit of Masked Language Model Pretraining: Robustness to Simplicity Bias. IJCNLP (1) 2023: 104-118 - [i13]Ting-Rui Chiang, Dani Yogatama:
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. CoRR abs/2310.16261 (2023) - [i12]Ting-Rui Chiang, Xinyan Velocity Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama:
On Retrieval Augmentation and the Limitations of Language Model Training. CoRR abs/2311.09615 (2023) - 2022
- [c5]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. ACL (Findings) 2022: 2766-2780 - [c4]Jessica Huynh, Ting-Rui Chiang, Jeffrey P. Bigham, Maxine Eskénazi:
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit. LREC 2022: 1256-1263 - [i11]Jessica Huynh, Ting-Rui Chiang, Jeffrey P. Bigham, Maxine Eskénazi:
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit. CoRR abs/2207.12551 (2022) - 2021
- [c3]Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. BlackboxNLP@EMNLP 2021: 228-239 - [i10]Ting-Rui Chiang, Yun-Nung Chen:
Why Can You Lay Off Heads? Investigating How BERT Heads Transfer. CoRR abs/2106.07137 (2021) - [i9]Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. CoRR abs/2109.08705 (2021) - [i8]Ting-Rui Chiang, Yi-Ting Yeh:
Improving Dialogue State Tracking by Joint Slot Modeling. CoRR abs/2109.14144 (2021) - [i7]Ting-Rui Chiang:
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias. CoRR abs/2110.05301 (2021) - [i6]Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang:
Are you doing what I say? On modalities alignment in ALFRED. CoRR abs/2110.05665 (2021) - [i5]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. CoRR abs/2110.08130 (2021) - 2020
- [j2]Ting-Rui Chiang
, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen:
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. Comput. Speech Lang. 63: 101073 (2020) - [j1]Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen:
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. Comput. Speech Lang. 63: 101079 (2020) - [c2]Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen:
An Empirical Study of Content Understanding in Conversational Question Answering. AAAI 2020: 7578-7585
2010 – 2019
- 2019
- [c1]Ting-Rui Chiang, Yun-Nung Chen:
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. NAACL-HLT (1) 2019: 2656-2668 - [i4]Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen:
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. CoRR abs/1903.08905 (2019) - [i3]Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen:
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. CoRR abs/1903.08953 (2019) - [i2]Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen:
An Empirical Study of Content Understanding in Conversational Question Answering. CoRR abs/1909.10743 (2019) - 2018
- [i1]Ting-Rui Chiang, Yun-Nung Chen:
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. CoRR abs/1811.00720 (2018)
Coauthor Index
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