Sun, Huan

Reinforced Dynamic Reasoning for Conversational Question Generation

Pan, B., Li, H., Yao, Z., Cai, D., & Sun, H. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 40

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

Yue, X., Jimenez Gutierrez, B., & Sun, H. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 33

AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Liao, Z., & Sun, H. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Yue, X., Zheng, T., Ni, Y., Wang, Y., Zhang, K., Tong, S., Sun, Y., Yu, B., Zhang, G., Sun, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Kapoor, S., Stroebl, B., Kirgis, P., Nadgir, N., Siegel, Z. S., Wei, B., Xue, T., Chen, Z., Chen, F., Utpala, S., et al. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

An Illusion of Progress? Assessing the Current State of Web Agents

Xue, T., Qi, W., Shi, T., Song, C. H., Gou, B., Song, D., Sun, H., & Su, Y. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0