🧑‍🔬 Who cites Haohan Wang

161 citations of their works from 159 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Haohan Wang

1. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
2. Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationEmily Dinan, Angela Fan, Adina Williams, et al.2020 · 266 citations
3. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
4. Syntactic Data Augmentation Increases Robustness to Inference HeuristicsJunghyun Min, R. Thomas McCoy, Dipanjan Das, et al.2020 · 217 citations
5. Challenges in Automated Debiasing for Toxic Language DetectionXuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 190 citations
6. Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution PerformancePrasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych2020 · 159 citations
7. Measure and Improve Robustness in NLP Models: A SurveyXuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
8. Exploring Length Generalization in Large Language ModelsCem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 138 citations
9. End-to-End Bias Mitigation by Modelling Biases in CorporaRabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 107 citations
10. Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsYuxiang Wu, Matt Gardner, Pontus Stenetorp, et al.2022 · 98 citations
11. Towards Robustifying NLI Models Against Lexical Dataset BiasesXiang Zhou, Mohit Bansal2020 · 70 citations
12. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial TrainingJoe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.2020 · 67 citations
13. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceTianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 36 citations
14. HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language InferenceTianyu Liu, Xin Zheng, Baobao Chang, et al.2020 · 27 citations
15. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsViktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
16. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceSara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
17. Coreference Reasoning in Machine Reading ComprehensionMingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 citations
18. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsReto Gubelmann, Siegfried Handschuh2022 · 2 citations
19. Evaluation of Adversarial Robustness in Arabic Language ModelsAnwar Alajmi, Ayed Salman, Imtiaz Ahmad2026 · 1 citation

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