Chenglei Si

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Question Answering

Top Venues

ACL/IJCNLP (Findings)

EMNLP (Findings)

Publications

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 (2024)
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 (2024)
Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, Diyi Yang
Design2Code: How Far Are We From Automating Front-End Engineering? CoRR (2024)
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)
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 (2024)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR (2023)
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)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR (2023)
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)
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 (2023)
Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
Prompting GPT-3 To Be Reliable. ICLR (2023)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
Revisiting Calibration for Question Answering. CoRR (2022)
Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
Prompting GPT-3 To Be Reliable. CoRR (2022)
Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) (2022)
Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR (2021)
Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
What's in a Name? Answer Equivalence For Open-Domain Question Answering. CoRR (2021)
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 (2021)
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) (2021)
Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
What's in a Name? Answer Equivalence For Open-Domain Question Answering. EMNLP (1) (2021)
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)
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)
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 (2021)
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 (2020)
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
CharBERT: Character-aware Pre-trained Language Model. CoRR (2020)
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
Benchmarking Robustness of Machine Reading Comprehension Models. CoRR (2020)
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
CharBERT: Character-aware Pre-trained Language Model. COLING (2020)
Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan
Sentiment Aware Neural Machine Translation. WAT@EMNLP-IJCNLP (2019)
Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR (2019)