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Zihuiwen Ye
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2020 – today
- 2024
- [i4]Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé:
Improving Reward Models with Synthetic Critiques. CoRR abs/2405.20850 (2024) - 2023
- [c5]Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed:
Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR 2023 - 2022
- [c4]Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom:
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. EMNLP (Findings) 2022: 5608-5620 - [i3]Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song:
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. CoRR abs/2210.12096 (2022) - 2021
- [c3]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c2]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. EACL 2021: 3703-3714 - [i2]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. CoRR abs/2102.05486 (2021) - [i1]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - 2020
- [c1]Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead
, Kenneth R. Koedinger:
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) 2020: 586-597
Coauthor Index
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