| 2026 | AAAI | Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models. | Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan, Xuming Hu |
| 2026 | ACL | Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design. | Junzhuo Li, Peijie Jiang, Changxin Tian, Jia Liu, Zhiqiang Zhang, Xuming Hu |
| 2025 | ACL | Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. | Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu |
| 2025 | ACL | Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. | Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu |
| 2025 | EMNLP | Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation. | Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu |
| 2025 | EMNLP | Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs. | Zhipeng Yang, Junzhuo Li, Siyu Xia, Xuming Hu |
| 2023 | ACL | Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports. | Chuang Liu, Junzhuo Li, Deyi Xiong |
| 2023 | EMNLP | DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. | Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong |
| 2023 | EMNLP | Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? | Shaoyang Xu, Junzhuo Li, Deyi Xiong |
| 2022 | ACL | KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base. | Junzhuo Li, Deyi Xiong |