Sentiment Aware Neural Machine Translation. - Chenglei Si; Kui Wu 004; Ai Ti Aw; Min-Yen Kan (WAT@EMNLP-IJCNLP, 2019)

What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? - Chenglei Si; Shuohang Wang; Min-Yen Kan; Jing Jiang 001 (CoRR, 2019)

CharBERT: Character-aware Pre-trained Language Model. - Wentao Ma; Yiming Cui 001; Chenglei Si; Ting Liu 001; Shijin Wang 001; Guoping Hu (COLING, 2020)

Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. - Chenglei Si; Zhengyan Zhang; Fanchao Qi; Zhiyuan Liu 001; Yasheng Wang; Qun Liu 001; Maosong Sun 001 (CoRR, 2020)

Benchmarking Robustness of Machine Reading Comprehension Models. - Chenglei Si; Ziqing Yang 001; Yiming Cui 001; Wentao Ma; Ting Liu 001; Shijin Wang 001 (ACL/IJCNLP (Findings), 2021)

Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. - Chenglei Si; Zhengyan Zhang; Fanchao Qi; Zhiyuan Liu 001; Yasheng Wang; Qun Liu 001; Maosong Sun 001 (ACL/IJCNLP (Findings), 2021)

What's in a Name? Answer Equivalence For Open-Domain Question Answering. - Chenglei Si; Chen Zhao 009; Jordan L. Boyd-Graber (EMNLP (1), 2021)

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. - Ziqing Yang 001; Yiming Cui 001; Chenglei Si; Wanxiang Che; Ting Liu 001; Shijin Wang 001; Guoping Hu (*SEM, 2021)

SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining. - Chenglei Si; Zhengyan Zhang; Yingfa Chen; Fanchao Qi; Xiaozhi Wang; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2021)

Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP. - Sabrina J. Mielke; Zaid Alyafeai; Elizabeth Salesky; Colin Raffel; Manan Dey; Matthias Gallé; Arun Raja; Chenglei Si; Wilson Y. Lee; Benoît Sagot; Samson Tan (CoRR, 2021)

Re-Examining Calibration: The Case of Question Answering. - Chenglei Si; Chen Zhao 009; Sewon Min; Jordan L. Boyd-Graber (EMNLP (Findings), 2022)

Revisiting Calibration for Question Answering. - Chenglei Si; Chen Zhao 009; Sewon Min; Jordan L. Boyd-Graber (CoRR, 2022)

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. - Chenglei Si; Dan Friedman; Nitish Joshi; Shi Feng 005; Danqi Chen 001; He He 001 (ACL (1), 2023)

READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. - Chenglei Si; Zhengyan Zhang; Yingfa Chen; Xiaozhi Wang; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2023)

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. - Sander Schulhoff; Jeremy Pinto; Anaum Khan; Louis-François Bouchard; Chenglei Si; Svetlina Anati; Valen Tagliabue; Anson Liu Kost; Christopher Carnahan; Jordan L. Boyd-Graber (EMNLP, 2023)

Getting MoRE out of Mixture of Language Model Reasoning Experts. - Chenglei Si; Weijia Shi; Chen Zhao 009; Luke Zettlemoyer; Jordan L. Boyd-Graber (EMNLP (Findings), 2023)

Prompting GPT-3 To Be Reliable. - Chenglei Si; Zhe Gan; Zhengyuan Yang; Shuohang Wang; Jianfeng Wang; Jordan L. Boyd-Graber; Lijuan Wang (ICLR, 2023)

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. - Chenglei Si; Weijia Shi; Chen Zhao 009; Luke Zettlemoyer; Jordan L. Boyd-Graber (CoRR, 2023)

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. - Sander Schulhoff; Jeremy Pinto; Anaum Khan; Louis-François Bouchard; Chenglei Si; Svetlina Anati; Valen Tagliabue; Anson Liu Kost; Christopher Carnahan; Jordan L. Boyd-Graber (CoRR, 2023)

Sub-Character Tokenization for Chinese Pretrained Language Models. - Chenglei Si; Zhengyan Zhang; Yingfa Chen; Fanchao Qi; Xiaozhi Wang; Zhiyuan Liu 001; Yasheng Wang; Qun Liu 001; Maosong Sun 001 (Trans. Assoc. Comput. Linguistics, 2023)

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. - Chenglei Si; Navita Goyal; Tongshuang Wu; Chen Zhao 009; Shi Feng 005; Hal Daumé III; Jordan L. Boyd-Graber (NAACL-HLT, 2024)

Design2Code: How Far Are We From Automating Front-End Engineering? - Chenglei Si; Yanzhe Zhang; Zhengyuan Yang; Ruibo Liu; Diyi Yang (CoRR, 2024)

Best Practices and Lessons Learned on Synthetic Data for Language Models. - Ruibo Liu; Jerry Wei; Fangyu Liu; Chenglei Si; Yanzhe Zhang; Jinmeng Rao; Steven Zheng; Daiyi Peng; Diyi Yang; Denny Zhou; Andrew M. Dai (CoRR, 2024)

The Prompt Report: A Systematic Survey of Prompting Techniques. - 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; et al. (CoRR, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

Configurable Foundation Models: Building LLMs from a Modular Perspective. - Chaojun Xiao; Zhengyan Zhang; Chenyang Song; Dazhi Jiang; Feng Yao; Xu Han 007; Xiaozhi Wang; Shuo Wang 013; Yufei Huang 008; Guanyu Lin; Yingfa Chen; Weilin Zhao; et al. (CoRR, 2024)

Contextual Experience Replay for Self-Improvement of Language Agents. - Yitao Liu; Chenglei Si; Karthik R. Narasimhan; Shunyu Yao (ACL (1), 2025)

SPHERE: An Evaluation Card for Human-AI Systems. - Dora Zhao; Qianou Ma; Xinran Zhao; Chenglei Si; Chenyang Yang 002; Ryan Louie; Ehud Reiter; Diyi Yang; Tongshuang Wu (ACL (Findings), 2025)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. - Chenglei Si; Diyi Yang; Tatsunori Hashimoto (ICLR, 2025)

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering. - Chenglei Si; Yanzhe Zhang; Ryan Li; Zhengyuan Yang; Ruibo Liu; Diyi Yang (NAACL (Long Papers), 2025)

Predicting Empirical AI Research Outcomes with Language Models. - Jiaxin Wen; Chenglei Si; Yueh-han Chen; He He; Shi Feng (CoRR, 2025)

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas. - Chenglei Si; Tatsunori Hashimoto; Diyi Yang (CoRR, 2025)