Mingzhe Li

Orcid: 0000-0002-0883-3678

Affiliations:
  • ByteDance, China
  • Ant Group, Beijing, China
  • Peking University, Wangxuan Institute of Computer Technology, Beijing, China
  • Peking University, Center for Data Science, Beijing, China


According to our database1, Mingzhe Li authored at least 23 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.
CoRR, May, 2025

Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style.
CoRR, February, 2025

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.
CoRR, February, 2025

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-Intent Attribute-Aware Text Matching in Searching.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Flexible and Adaptable Summarization via Expertise Separation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order.
ACM Trans. Inf. Syst., January, 2023

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately.
CoRR, 2023

Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order.
CoRR, 2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Topic-aware Summarization Framework with Different Modal Side Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Dialogue Summarization with Static-Dynamic Structure Fusion Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving the Robustness of Summarization Systems with Dual Augmentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning towards Selective Data Augmentation for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Target-aware Abstractive Related Work Generation with Contrastive Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Improving Faithfulness in Abstractive Summarization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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