Zihuiwen Ye

12 papers A 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Likelihood hacking in probabilistic program synthesis.
CoRR
Jacek Karwowski, Younesse Kaddar, Zihuiwen Ye, Nikolay Malkin, Sam Staton
2025 — conf
Improving Reward Models with Synthetic Critiques.
NAACL (Findings)
Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé
2025 J jnl
Uncertainty-Aware Step-wise Verification with Generative Reward Models.
CoRR
Zihuiwen Ye, Luckeciano Carvalho Melo, Younesse Kaddar, Phil Blunsom, Sam Staton, Yarin Gal
2024 J jnl
Improving Reward Models with Synthetic Critiques.
CoRR
Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé
2023 — conf
Can Text Encoders be Deceived by Length Attack?
Tiny Papers @ ICLR
Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
2022 — conf
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play.
EMNLP (Findings)
Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom
2022 J jnl
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play.
CoRR
Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song
2021 J jnl
EXPLAINABOARD: An Explainable Leaderboard for NLP.
CoRR
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
2021 — conf
ExplainaBoard: An Explainable Leaderboard for NLP.
ACL (demo)
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
2021 A conf
Towards More Fine-grained and Reliable NLP Performance Prediction.
EACL
Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig
2021 J jnl
Towards More Fine-grained and Reliable NLP Performance Prediction.
CoRR
Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig
2020 — conf
Investigating Differential Error Types Between Human and Simulated Learners.
AIED (1)
Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger