Junzhuo Li

According to our database, Junzhuo Li authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation.

Kening Zheng, Wei-Chieh Huang, Jiahao Huo, Zhonghao Li, Henry Peng Zou, Yibo Yan, Xin Zou, Jungang Li, Junzhuo Li, Hanrong Zhang, Xuming Hu, Philip S. Yu

CoRR, April, 2026

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

CoRR, March, 2026

Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models.

Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan, Xuming Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities.

Junyan Zhang, Yubo Gao, Yibo Yan, Jungang Li, Zhaorui Hou, Sicheng Tao, Shuliang Liu, Song Dai, Yonghua Hei, Junzhuo Li, Xuming Hu

CoRR, May, 2025

LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning.

Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Exploring Engineering Undergraduate's Critical Thinking Patterns in AI-Enhanced Learning: A TCSA Method.

Dongchen Pan, Taotao Long, Xiaomeng Zhu, Junzhuo Li

Proceedings of the Blended Learning. Sustainable and Flexible Smart Learning, 2025

Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs.

Zhipeng Yang, Junzhuo Li, Siyu Xia, Xuming Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation.

Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.

Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis.

Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

2023

Urban Resident Travel Survey Method Based on Cellular Signaling Data.

Junzhuo Li, Wenyong Li, Guan Lian

ISPRS Int. J. Geo Inf., July, 2023

Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?

Shaoyang Xu, Junzhuo Li, Deyi Xiong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models.

Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports.

Chuang Liu, Junzhuo Li, Deyi Xiong

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023

2022

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks.

Weilong Dong, Xinwei Wu, Junzhuo Li, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework.

Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base.

Junzhuo Li, Deyi Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

MDPeQA: A Pediatric Question Answering System Based on Multiple Data Sources.

Junzhuo Li, Hongying Zan, Yingjie Yan, Kunli Zhang

Proceedings of the Chinese Lexical Semantics - 21st Workshop, 2020