Wang, Haohan

Measure and Improve Robustness in NLP Models: A Survey

Wang, X., Wang, H., & Yang, D. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 90

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Zhou, A., Yan, K., Shlapentokh-Rothman, M., Wang, H., & Wang, Y.-X. (2023) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 18

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 16

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data

Liu, H., Li, Y., Jian, J., Cheng, Y., Lu, J., Guo, S., Zhu, J., Zhang, M., Zhang, M., & Wang, H. (2024) · arXiv

Gene expression and cancer classificationBiomedical Text Mining and Ontologies

Cited by 4