Investigating Differential Error Types Between Human and Simulated Learners. - Daniel Weitekamp III; Zihuiwen Ye; Napol Rachatasumrit; Erik Harpstead; Kenneth R. Koedinger (AIED (1), 2020)

ExplainaBoard: An Explainable Leaderboard for NLP. - Pengfei Liu 003; Jinlan Fu; Yang Xiao; Weizhe Yuan; Shuaichen Chang; Junqi Dai; Yixin Liu 003; Zihuiwen Ye; Graham Neubig (ACL (demo), 2021)

Towards More Fine-grained and Reliable NLP Performance Prediction. - Zihuiwen Ye; Pengfei Liu 003; Jinlan Fu; Graham Neubig (EACL, 2021)

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. - Qi Liu 049; Zihuiwen Ye; Tao Yu; Linfeng Song; Phil Blunsom (EMNLP (Findings), 2022)

Can Text Encoders be Deceived by Length Attack? - Chenghao Xiao; Zihuiwen Ye; G. Thomas Hudson; Zhongtian Sun; Phil Blunsom; Noura Al Moubayed (Tiny Papers @ ICLR, 2023)

Improving Reward Models with Synthetic Critiques. - Zihuiwen Ye; Fraser Greenlee-Scott; Max Bartolo; Phil Blunsom; Jon Ander Campos; Matthias Gallé (NAACL (Findings), 2025)

Uncertainty-Aware Step-wise Verification with Generative Reward Models. - Zihuiwen Ye; Luckeciano Carvalho Melo; Younesse Kaddar; Phil Blunsom; Sam Staton; Yarin Gal (CoRR, 2025)