| 2025 | AAAI | CareBot: A Pioneering Full-Process Open-Source Medical Language Model. | Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou |
| 2025 | COLING | MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning. | Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou |
| 2025 | EMNLP | On the Perception Bottleneck of VLMs for Chart Understanding. | Junteng Liu, Weihao Zeng, Xiwen Zhang, Yijun Wang, Zifei Shan, Junxian He |
| 2025 | ICLR | AgentRefine: Enhancing Agent Generalization through Refinement Tuning. | Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu |
| 2025 | ICLR | CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. | Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu |
| 2025 | ICLR | B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners. | Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He |
| 2024 | ACL | DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. | Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai |
| 2024 | COLING | BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. | Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu |
| 2024 | EMNLP | Automatic Instruction Evolving for Large Language Models. | Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen |
| 2024 | ICLR | What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. | Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He |
| 2024 | NAACL | DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. | Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu |
| 2023 | ACL | FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. | Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu |
| 2023 | ACL | Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. | Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu |
| 2023 | ICRA | Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. | Hoang-Giang Cao, Weihao Zeng, I-Chen Wu |
| 2022 | ICRA | Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. | Hoang-Giang Cao, Weihao Zeng, I-Chen Wu |
| 2022 | NAACL | Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. | Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu |
| 2022 | SIGIR | ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. | Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu |
| 2021 | EMNLP | Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. | Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo |