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Benchmarking Robustness of Machine Reading Comprehension Models.

C. Si, Z. Yang, Y. Cui, W. Ma, T. Liu, and S. Wang. ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 634-644. Association for Computational Linguistics, (2021)

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Chenglei Wu

Si Gangyan

Si Yang

Zhongyi Si

Yuefang Si

Other publications of authors with the same name

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings.Z. Yang, Y. Cui, C. Si, W. Che, T. Liu, S. Wang, and G. Hu. *SEM, page 308-313. Association for Computational Linguistics, (2021)Design2Code: How Far Are We From Automating Front-End Engineering?C. Si, Y. Zhang, Z. Yang, R. Liu, and D. Yang. CoRR, (2024)Re-Examining Calibration: The Case of Question Answering.C. Si, C. Zhao, S. Min, and J. Boyd-Graber. EMNLP (Findings), page 2814-2829. Association for Computational Linguistics, (2022)Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations.C. Si, D. Friedman, N. Joshi, S. Feng, D. Chen, and H. He. ACL (1), page 11289-11310. Association for Computational Linguistics, (2023)CharBERT: Character-aware Pre-trained Language Model.W. Ma, Y. Cui, C. Si, T. Liu, S. Wang, and G. Hu. COLING, page 39-50. International Committee on Computational Linguistics, (2020)Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.H. Shen, T. Knearem, R. Ghosh, K. Alkiek, K. Krishna, Y. Liu, Z. Ma, S. Petridis, Y. Peng, L. Qiwei and 14 other author(s). CoRR, (2024)Getting MoRE out of Mixture of Language Model Reasoning Experts.C. Si, W. Shi, C. Zhao, L. Zettlemoyer, and J. Boyd-Graber. EMNLP (Findings), page 8234-8249. Association for Computational Linguistics, (2023)Best Practices and Lessons Learned on Synthetic Data for Language Models.R. Liu, J. Wei, F. Liu, C. Si, Y. Zhang, J. Rao, S. Zheng, D. Peng, D. Yang, D. Zhou and 1 other author(s). CoRR, (2024)Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning.C. Si, Z. Zhang, F. Qi, Z. Liu, Y. Wang, Q. Liu, and M. Sun. CoRR, (2020)Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition.S. Schulhoff, J. Pinto, A. Khan, L. Bouchard, C. Si, S. Anati, V. Tagliabue, A. Kost, C. Carnahan, and J. Boyd-Graber. EMNLP, page 4945-4977. Association for Computational Linguistics, (2023)

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Disambiguation of "Si, Chenglei"

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Benchmarking Robustness of Machine Reading Comprehension Models.

Please choose a person to relate this publication to

Chenglei Wu

Si Gangyan

Si Yang

Zhongyi Si

Yuefang Si

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Si, Chenglei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Benchmarking Robustness of Machine Reading Comprehension Models.

Please choose a person to relate this publication to

Chenglei Wu

Si Gangyan

Si Yang

Zhongyi Si

Yuefang Si

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Benchmarking Robustness of Machine Reading Comprehension Models.