Minggui He

According to our database, Minggui He authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models.

Yilun Liu, Chunguang Zhao, Mengyao Piao, Lingqi Miao, Shimin Tao, Minggui He, Chenxin Liu, Li Zhang, Hongxia Ma, Jiaxin Guo, Chen Liu, Liqun Deng, Jiansheng Wei, Xiaojun Meng, Fanyi Du, Daimeng Wei, Yanghua Xiao

CoRR, April, 2026

C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment.

Pufan Zeng, Yilun Liu, Mingchen Dai, Mengyao Piao, Chunguang Zhao, Lingqi Miao, Shimin Tao, Weibin Meng, Minggui He, Chenxin Liu, Zhenzhen Qin, Li Zhang, Hongxia Ma, Boxing Chen, Daimeng Wei

CoRR, April, 2026

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation.

Minggui He, Mingchen Dai, Jian Zhang, Yilun Liu, Shimin Tao, Pufan Zeng, Osamu Yoshie, Yuya Ieiri

CoRR, February, 2026

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction.

Yan Yu, Yilun Liu, Minggui He, Shimin Tao, Weibin Meng, Xinhua Yang, Li Zhang, Hongxia Ma, Dengye Li, Daimeng Wei, Boxing Chen, Fuliang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis.

Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Boxing Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM.

Cui Danxin, Sihang Jiang, Keyi Wang, Zhiyi Duan, Yanghua Xiao, Bi Yude, Jiaqing Liang, Minggui He, Shimin Tao, Yilun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Do Large Language Models Truly Understand Cross-cultural Differences?

Shiwei Guo, Sihang Jiang, Qianxi He, Yanghua Xiao, Jiaqing Liang, Bi Yude, Minggui He, Shimin Tao, Li Zhang

CoRR, December, 2025

R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning.

Yilun Liu, Ziang Chen, Song Xu, Minggui He, Shimin Tao, Weibin Meng, Yuming Xie, Tao Han, Chunguang Zhao, Jingzhou Du, Daimeng Wei, Shenglin Zhang, Yongqian Sun

CoRR, September, 2025

CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs.

Jinghao Zhang, Sihang Jiang, Shiwei Guo, Shisong Chen, Yanghua Xiao, Hongwei Feng, Jiaqing Liang, Minggui He, Shimin Tao, Hongxia Ma

CoRR, September, 2025

A method for improving multilingual quality and diversity of instruction fine-tuning datasets.

Chunguang Zhao, Yilun Liu, Pufan Zeng, Yuanchang Luo, Shimin Tao, Minggui He, Weibin Meng, Song Xu, Ziang Chen, Chen Liu, Hongxia Ma, Li Zhang, Boxing Chen, Daimeng Wei

CoRR, September, 2025

RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning.

Song Xu, Yilun Liu, Minggui He, Mingchen Dai, Ziang Chen, Chunguang Zhao, Jingzhou Du, Shimin Tao, Weibin Meng, Shenglin Zhang, Yongqian Sun, Boxing Chen, Daimeng Wei

CoRR, September, 2025

Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation.

Feifan Wang, Tengfei Song, Minggui He, Chang Su, Zhanglin Wu, Hao Yang, Wenming Zheng, Osamu Yoshie

CoRR, May, 2025

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction.

Yan Yu, Yilun Liu, Minggui He, Shimin Tao, Weibin Meng, Xinhua Yang, Li Zhang, Hongxia Ma, Chang Su, Hao Yang, Fuliang Li

CoRR, May, 2025

MIDB: Multilingual Instruction Data Booster for Enhancing Multilingual Instruction Synthesis.

Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Chang Su, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Hao Yang

CoRR, May, 2025

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning.

Minggui He, Yilun Liu, Shimin Tao, Yuanchang Luo, Hongyong Zeng, Chang Su, Li Zhang, Hongxia Ma, Daimeng Wei, Weibin Meng, Hao Yang, Boxing Chen, Osamu Yoshie

CoRR, February, 2025

FastTalker: An unified framework for generating speech and conversational gestures from text.

Jian Zhang, Zixin Guo, Minggui He, Osamu Yoshie

Neurocomputing, 2025

SuperFC: Selective Data Utilization for a Sustainable and Effective Function-Calling Agent.

Xinhua Yang, Yilun Liu, Shimin Tao, Chunguang Zhao, Weibin Meng, Minggui He, Chang Su, Rongrong Liu, Hongxia Ma, Li Zhang, Jingzhou Du, Duan Li, Jian Gao, Hao Yang, Boxing Chen, Chuanwen Li

Proceedings of the International Joint Conference on Neural Networks, 2025

LogLM: From Task-Based to Instruction-Based Automated Log Analysis.

Yilun Liu, Yuhe Ji, Shimin Tao, Minggui He, Weibin Meng, Shenglin Zhang, Yongqian Sun, Yuming Xie, Boxing Chen, Hao Yang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidance.

Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Justin Li, Jian Gao, Zhang Li, Hao Yang, Boxing Chen, Osamu Yoshie

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

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge.

Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge.

Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang

CoRR, 2024

What Do You Want? User-centric Prompt Generation for Text-to-image Synthesis via Multi-turn Guidance.

Yilun Liu, Minggui He, Feiyu Yao, Yuhe Ji, Shimin Tao, Jingzhou Du, Duan Li, Jian Gao, Li Zhang, Hao Yang, Boxing Chen, Osamu Yoshie

CoRR, 2024

2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021