| 2026 | ACL | From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models. | Jiaxin Zhang, Wendi Cui, Zhuohang Li, Lifu Huang, Bradley A. Malin, Caiming Xiong, Chien-Sheng Wu |
| 2025 | ACL | SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | ACL | Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | EMNLP | Towards Statistical Factuality Guarantee for Large Vision-Language Models. | Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin |
| 2025 | NAACL | Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation. | Yu Wang, Jiaxin Zhang, Xiang Gao, Wendi Cui, Peng Li, Kamalika Das |
| 2024 | EMNLP | Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models. | Wendi Cui, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan, Jiaxin Zhang |
| 2024 | EMNLP | Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution. | Ankita Sinha, Wendi Cui, Kamalika Das, Jiaxin Zhang |
| 2024 | EMNLP | Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. | Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan |