Hi! I am Mingzhe Li, an NLP researcher and algorithm engineer in ByteDance.

After earning my M.S. from Peking University, supervised by Prof. Rui Yan and Prof. Dongyan Zhao, I joined Ant Group and later ByteDance. At Ant Group, I served as the algorithm owner for search relevance, where I developed attribute-aware multi-intent text matching models and an LLM knowledge-injected semantic matching framework for Alipay. At ByteDance, I now lead intelligent outbound-call platforms, architecting LLM-based dialogue models, TTS engines, and an end-to-end Audio-LLM that serve millions of users.

My research interest includes retrieval for searching, LLM-based dialogue, Multi-Agent Framework, and Audio-LLM. If you are seeking any form of academic cooperation or have any questions for me, please feel free to email me at limingzhe.lmz@bytedance.com.

🔥 News

• 2025.11: 🎉 One paper is accepted by AAAI 2026
• 2025.09: 🎉 One paper is accepted by EMNLP 2025
• 2025.05: One paper is accepted by ACL 2025

📝 Publications

🧑 Domain-Specific LLM Application

• AAAI 2026 Maniplvm-r1: Reinforcement learning for reasoning in embodied manipulation with large vision-language models, Zirui Song, Guangxian Ouyang, Mingzhe Li, Yuheng Ji, Chenxi Wang, Zixiang Xu, Zeyu Zhang, Xiaoqing Zhang, Qian Jiang, Zhenhao Chen, Zhongzhi Li, Rui Yan, Xiuying Chen.

• EMNLP 2025 Injecting domain-specific knowledge into large language models: a comprehensive survey, Zirui Song, Bin Yan, Yuhan Liu, Miao Fang, Mingzhe Li, Rui Yan, Xiuying Chen.

• ACL 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching, Mingzhe Li, Jing Xiang, Qishen Zhang, Kaiyang Wan, Xiuying Chen.

🔍 Searching

• WSDM 2024 Multi-Intent Attribute-Aware Text Matching in Searching, Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang.

• ACL 2022 Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation, Mingzhe Li, XieXiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan.

• CIKM 2022 Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment, Zile Zhou, Xiao Zhou, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan.

🤖 AI-Generated Text for Social Media Dynamics

• TASLP 2024 Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization, Xiuying Chen, Shen Gao, Mingzhe Li, Qingqing Zhu, Xin Gao, Xiangliang Zhang.

• WSDM 2023 EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator, Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan.

• TOIS 2022 Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order, Xiuying Chen*, Mingzhe Li*, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan. Code

• SIGIR 2022 Target-aware Abstractive Related Work Generation with Contrastive Learning, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang. Code

• ACL 2021 Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan. Code

• AAAI 2020 The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement, Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan

• EMNLP 2020 VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles, Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao, Rui Yan.

📚 AI-Generated Text for Accuracy

• SIGIR 2024 Flexible and Adaptable Summarization via Expertise Separation, Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang.

• SIGIR 2023 A Topic-aware Summarization Framework with Different Modal Side Information, Xiuying Chen*, Mingzhe Li*, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang.

• AAAI 2023 Learning towards Selective Data Augmentation for Dialogue Generation, Xiuying Chen*, Mingzhe Li*, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan.

• ACL 2023 Dialogue Summarization with Static-Dynamic Structure Fusion Graph, Shen Gao, Xin Cheng, Mingzhe Li, Xiuying Chen, Jinpeng Li, Dongyan Zhao, Rui Yan.

• ACL 2023 Improving the Robustness of Summarization Systems with Dual Augmentation, Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang. Code

• EMNLP 2022 Scientific Paper Extractive Summarization Enhanced by Citation Graphs, Xiuying Chen*, Mingzhe Li*, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang.

• NeurIPS 2022 Towards Improving Faithfulness in Abstractive Summarization, Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang. Code

🎖 Awards

• 2025 Individual Award of Spot Bonus, ByteDance
• 2024 CY2023 T-STAR Outstanding Engineer, Ant Group
• 2023 Outstanding Young Star, Ant Group
• 2022 Outstanding Graduate, Beijing
• 2022 Outstanding Graduate of Peking University, Peking University

💻 Internships

• 2021.05 - 2021.11, Ant Group, Beijing. Mentor: [Qishen Zhang]
• 2020.10 - 2021.05, Boss Zhipin, Beijing. Mentor: [Yang Song & Tao Zhang]

⭐ Services

• 2025, Program Committee, ACL, EMNLP, ICLR, NeurIPS, WWW, SIGIR, CIKM.
• 2024, Program Committee, ACL, EMNLP, WWW, SIGIR, EACL, CIKM.
• 2023, Program Committee, WWW, SIGIR, EACL, SDM, NLPCC.
• 2022, Program Committee, KDD, WWW, SIGIR, NLPCC.