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Journal Articles
- 2018
[j2]Wenjun Xu, Xuemei Zhou, Yanda Chen, Zhihui Liu, Zhiyong Feng:
Intercarrier-Interference-Aware Energy Saving for High-Mobility Cognitive OFDM Systems. IEICE Trans. Commun. 101-B(1): 203-212 (2018)- [j1]Jiaming Liu, Xingqun Qi
, Yimeng Xu, Yanda Chen, Chuang Zhang:
Queuing Strategy Optimization with Restricted Service Resources. Wirel. Pers. Commun. 102(4): 2681-2699 (2018)
Conference and Workshop Papers
- 2024
- [c7]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
Parallel Structures in Pre-training Data Yield In-Context Learning. ACL (1) 2024: 8582-8592 - [c6]Todd Morrill, Zhaoyuan Deng, Yanda Chen, Amith Ananthram, Colin Wayne Leach, Kathleen R. McKeown:
Social Orientation: A New Feature for Dialogue Analysis. LREC/COLING 2024: 14995-15011 - [c5]Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown:
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. ICML 2024 - 2023
- [c4]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
On the Relation between Sensitivity and Accuracy in In-Context Learning. EMNLP (Findings) 2023: 155-167 - 2022
- [c3]Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He:
Meta-learning via Language Model In-context Tuning. ACL (1) 2022: 719-730 - 2021
- [c2]Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscáková, Rui Zhang, Douglas W. Oard, Kathleen R. McKeown:
Cross-language Sentence Selection via Data Augmentation and Rationale Training. ACL/IJCNLP (1) 2021: 3881-3895 - 2019
- [c1]Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown:
Detecting and Reducing Bias in a High Stakes Domain. EMNLP/IJCNLP (1) 2019: 4764-4774
Informal and Other Publications
- 2024
- [i10]Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao:
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR abs/2401.13986 (2024) - [i9]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
Parallel Structures in Pre-training Data Yield In-Context Learning. CoRR abs/2402.12530 (2024) - [i8]Todd Morrill, Zhaoyuan Deng, Yanda Chen, Amith Ananthram, Colin Wayne Leach, Kathleen R. McKeown:
Social Orientation: A New Feature for Dialogue Analysis. CoRR abs/2403.04770 (2024) - 2023
- [i7]Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown:
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. CoRR abs/2307.08678 (2023) - 2022
- [i6]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
On the Relation between Sensitivity and Accuracy in In-context Learning. CoRR abs/2209.07661 (2022) - [i5]Yukun Huang, Yanda Chen, Zhou Yu, Kathleen R. McKeown:
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models. CoRR abs/2212.10670 (2022) - 2021
- [i4]Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscáková, Rui Zhang, Douglas W. Oard, Kathleen R. McKeown:
Cross-language Sentence Selection via Data Augmentation and Rationale Training. CoRR abs/2106.02293 (2021) - [i3]Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He:
Meta-learning via Language Model In-context Tuning. CoRR abs/2110.07814 (2021) - 2020
- [i2]Yanda Chen, Md. Arafat Sultan, Vittorio Castelli:
Improved Synthetic Training for Reading Comprehension. CoRR abs/2010.12776 (2020) - 2019
- [i1]Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown:
Detecting and Reducing Bias in a High Stakes Domain. CoRR abs/1908.11474 (2019)
Coauthor Index
aka: Kathleen R. McKeown
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