Mingkuan Feng

According to our database, Mingkuan Feng authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs.

Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuo Yang, Chu Yuan Zhang, Jianhua Tao

CoRR, February, 2026

Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Feihu Che, Zhengqi Wen, Chonghua Liao, Ling Yang, Haoran Luo, Zheng Lian, Jianhua Tao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Two-Stage Regularization-Based Structured Pruning for LLMs.

Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

AStar: Boosting Multimodal Reasoning with Automated Structured Thinking.

Jinyang Wu, Mingkuan Feng, Guocheng Zhai, Shuai Zhang, Zheng Lian, Fangrui Lv, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Better, Stronger, Faster: Tackling the Trilemma in MLLM-based Segmentation with Simultaneous Textual Mask Prediction.

Jiazhen Liu, Mingkuan Feng, Long Chen

CoRR, December, 2025

ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning.

Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao

CoRR, May, 2025

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities.

Jinyang Wu, Chonghua Liao, Mingkuan Feng, Shuai Zhang, Zhengqi Wen, Pengpeng Shao, Huazhe Xu, Jianhua Tao

CoRR, May, 2025

Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao

CoRR, February, 2025

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models.

Mingkuan Feng, Jinyang Wu, Shuai Zhang, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao, Feihu Che

CoRR, January, 2025

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing.

Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuai Zhang, Jianhua Tao

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

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.

Jinyang Wu, Shuai Zhang, Feihu Che, Mingkuan Feng, Pengpeng Shao, Jianhua Tao

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

2024

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Feihu Che, Zengqi Wen, Jianhua Tao

CoRR, 2024

2023

FLGo: A Fully Customizable Federated Learning Platform.

Zheng Wang, Xiaoliang Fan, Zhaopeng Peng, Xueheng Li, Ziqi Yang, Mingkuan Feng, Zhicheng Yang, Xiao Liu, Cheng Wang

CoRR, 2023