Title |
|---|
 Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 User-Centric Gender RewritingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Speciesist Language and Nonhuman Animal Bias in English Masked Language
ModelsInformation Processing & Management (IPM), 2022 |
 Training language models to follow instructions with human feedbackNeural Information Processing Systems (NeurIPS), 2022 |
 Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and
BenchmarksConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 COLD: A Benchmark for Chinese Offensive Language DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via
Gradient-based DecodingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Graph Trend Filtering Networks for RecommendationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 |
 Jointly Attacking Graph Neural Network and its ExplanationsIEEE International Conference on Data Engineering (ICDE), 2021 |
 An Argumentative Dialogue System for COVID-19 Vaccine InformationChinese Conference on Logic and Argumentation (CLA), 2021 |
 A Survey of Race, Racism, and Anti-Racism in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Assessing Political Prudence of Open-domain ChatbotsSIGDIAL Conferences (SIGDIAL), 2021 |
 RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of
Conversational Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 The Authors Matter: Understanding and Mitigating Implicit Bias in Deep
Text ClassificationFindings (Findings), 2021 |
 Listener's Social Identity Matters in Personalised Response GenerationInternational Conference on Natural Language Generation (INLG), 2020 |
 Multi-Modal Open-Domain DialogueConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial
LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Multi-Dimensional Gender Bias ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 NestedVAE: Isolating Common Factors via Weak SupervisionComputer Vision and Pattern Recognition (CVPR), 2020 |
 Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
