Wang, William Yang

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Mitigating Gender Bias in Natural Language Processing: Literature Review

Sun, T., Gaut, A., Tang, S., Huang, Y., ElSherief, M., Zhao, J., Mirza, D., Belding, E., Chang, K.-W., & Wang, W. Y. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Ethics and Social Impacts of AIGender Studies in Language

Cited by 492

FinQA: A Dataset of Numerical Reasoning over Financial Data

Chen, Z., Chen, W., Smiley, C., Shah, S., Borova, I., Langdon, D., Moussa, R., Beane, M., Huang, T.-H., Routledge, B., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 258

Holistic Evaluation of Language Models

Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 255

TabFact: A Large-scale Dataset for Table-based Fact Verification

Chen, W., Wang, H., Chen, J., Zhang, Y., Wang, H., Li, S., Zhou, X., & Wang, W. Y. (2019) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 239

On the Risk of Misinformation Pollution with Large Language Models

Pan, Y., Pan, L., Chen, W., Nakov, P., Kan, M.-Y., & Wang, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Misinformation and Its ImpactsAdversarial Robustness in Machine Learning

Cited by 210

Associations of semaglutide with first‐time diagnosis of Alzheimer's disease in patients with type 2 diabetes: Target trial emulation using nationwide real‐world data in the US

Wang, W., Wang, Q., Qi, X., Gurney, M., Perry, G., Volkow, N. D., Davis, P. B., Kaelber, D. C., & Xu, R. (2024) · Alzheimer's & Dementia

Diabetes Treatment and ManagementDementia and Cognitive Impairment Research

Cited by 180

WikiHow: A Large Scale Text Summarization Dataset

Koupaee, M., & Wang, W. Y. (2018) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 166

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Pan, L., Albalak, A., Wang, X., & Wang, W. Y. (2023) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 144

Sentence Embedding Alignment for Lifelong Relation Extraction

Wang, H., Xiong, W., Yu, M., Guo, X., Chang, S., & Wang, W. Y. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingAdvanced Graph Neural Networks

Cited by 127

Fine-tune Bert for DocRED with Two-step Process

Wang, H., Focke, C., Sylvester, R., Mishra, N., & Wang, W. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 111

Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement

Yin, X., Wang, X., Pan, L., Lin, L., Wan, X., & Wang, W. Y. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 105

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies

Pan, L., Saxon, M., Xu, W., Nathani, D., Wang, X., & Wang, W. Y. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 86

A Dataset for Answering Time-Sensitive Questions

Chen, W., Wang, X., & Wang, W. Y. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Pan, L., Saxon, M., Xu, W., Nathani, D., Wang, X., & Wang, W. Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 25

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

Zhou, X., Chen, Z., Jin, X., & Wang, W. Y. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations

Green IT and SustainabilityTopic Modeling

Cited by 24

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Yang, X., Cheng, W., Wu, Y., Petzold, L., Wang, W. Y., & Chen, H. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 23

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Chang, S., Wang, J., Dong, M., Pan, L., Zhu, H., Li, A. H., Lan, W., Zhang, S., Jiang, J., Lilien, J., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 11

Attacking Open-domain Question Answering by Injecting Misinformation

Pan, L., Chen, W., Kan, M.-Y., & Wang, W. Y. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 9