| 2026 | ACL | MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments. | Quyu Kong, Xu Zhang, Zhenyu Yang, Nolan Gao, Chen Liu, Panrong Tong, Chenglin Cai, Hanzhang Zhou, Jianan Zhang, Liangyu Chen, Zhidan Liu, Steven Hoi, Yue Wang |
| 2026 | ACL | FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems. | Wenhao Wang, Haoting Shi, Mengying Yuan, Yiquan Lin, Panrong Tong, Hanzhang Zhou, Guangyi Liu, Pengxiang Zhao, Yue Wang, Siheng Chen |
| 2026 | EACL | Rethinking Prompt Optimizers: From Prompt Merits to Optimization. | Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Tianjiao Li, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao |
| 2025 | NAACL | Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. | Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai, Kezhi Mao |
| 2025 | NAACL | Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. | Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao |
| 2024 | ACL | FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. | Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu |
| 2024 | ACL | LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. | Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao |
| 2024 | EACL | PromptExplainer: Explaining Language Models through Prompt-based Learning. | Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao |
| 2024 | ICLR | Unveiling and Manipulating Prompt Influence in Large Language Models. | Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao |
| 2024 | NAACL | EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. | Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao |
| 2023 | EMNLP | Closed Boundary Learning for Classification Tasks with the Universum Class. | Hanzhang Zhou, Zijian Feng, Kezhi Mao |
| 2022 | NAACL | Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. | Hanzhang Zhou, Kezhi Mao |