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2020 – today
- 2024
[c13]Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT 2024: 1459-1474- [i19]Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, Diyi Yang:
Design2Code: How Far Are We From Automating Front-End Engineering? CoRR abs/2403.03163 (2024) - [i18]Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai:
Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR abs/2404.07503 (2024) - [i17]Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i16]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - 2023
- [j1]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Sub-Character Tokenization for Chinese Pretrained Language Models. Trans. Assoc. Comput. Linguistics 11: 469-487 (2023) - [c12]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. ACL (1) 2023: 8272-8285 - [c11]Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He:
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) 2023: 11289-11310 - [c10]Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber:
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. EMNLP 2023: 4945-4977 - [c9]Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber:
Getting MoRE out of Mixture of Language Model Reasoning Experts. EMNLP (Findings) 2023: 8234-8249 - [c8]Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang:
Prompting GPT-3 To Be Reliable. ICLR 2023 - [i15]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. CoRR abs/2302.07324 (2023) - [i14]Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He:
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR abs/2305.13299 (2023) - [i13]Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber:
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR abs/2305.14628 (2023) - [i12]Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber:
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR abs/2310.12558 (2023) - [i11]Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber:
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. CoRR abs/2311.16119 (2023) - 2022
- [c7]Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber:
Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) 2022: 2814-2829 - [i10]Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber:
Revisiting Calibration for Question Answering. CoRR abs/2205.12507 (2022) - [i9]Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang:
Prompting GPT-3 To Be Reliable. CoRR abs/2210.09150 (2022) - 2021
- [c6]Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) 2021: 634-644 - [c5]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. ACL/IJCNLP (Findings) 2021: 1569-1576 - [c4]Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber:
What's in a Name? Answer Equivalence For Open-Domain Question Answering. EMNLP (1) 2021: 9623-9629 - [c3]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. *SEM 2021: 308-313 - [i8]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining. CoRR abs/2106.00400 (2021) - [i7]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR abs/2106.04437 (2021) - [i6]Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber:
What's in a Name? Answer Equivalence For Open-Domain Question Answering. CoRR abs/2109.05289 (2021) - [i5]Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey
, Matthias Gallé, Arun Raja, Chenglei Si, Wilson Y. Lee, Benoît Sagot, Samson Tan:
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP. CoRR abs/2112.10508 (2021) - 2020
- [c2]Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. COLING 2020: 39-50 - [i4]Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. CoRR abs/2004.14004 (2020) - [i3]Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. CoRR abs/2011.01513 (2020) - [i2]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. CoRR abs/2012.15699 (2020)
2010 – 2019
- 2019
- [c1]Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan:
Sentiment Aware Neural Machine Translation. WAT@EMNLP-IJCNLP 2019: 200-206 - [i1]Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR abs/1910.12391 (2019)
Coauthor Index
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last updated on 2024-09-02 01:01 CEST by the dblp team
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