Guanhua Zhang

TEXTGRAD: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

Bairu Hou, Yihua Zhang^‡, Jinghan Jia^‡, Guanhua Zhang^‡, Yang Zhang, Sijia Liu, Shiyu Chang

ICLR ‘23: The Eleventh International Conference on Learning Representations

Fairness Reprogramming

Guanhua Zhang^‡, Yihua Zhang^‡, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

NerrIPS ‘22: Thirty-sixth Conference on Neural Information Processing Systems

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization

Yihua Zhang^‡, Guanhua Zhang^‡, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu

ICML’22: International Conference on Machine Learning

Why is Attention Not So Interpretable?

Bing Bai^‡, Jian Liang^‡, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

KDD’21: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

Guanhua Zhang^‡, Bing Bai^‡, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao

ACL’20: Annual Meeting of the Association for Computational Linguistics

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Guanhua Zhang^‡, Bing Bai^‡, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

ACL’19: Annual Meeting of the Association for Computational Linguistics

Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao

Preprint in arXiv: 2010.07676

Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao

Preprint in arXiv: 1909.04242

CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo

Preprint in arXiv: 2004.04816