Qianchun Lu

According to our database, Qianchun Lu authored at least 6 papers between 2018 and 2025.

Collaborative distances:

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

2025

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval.

Hao Lin, Peitong Xie, Jingxue Chen, Jie Lin, Qingkun Tang, Qianchun Lu

CoRR, September, 2025

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning.

Kang Yang, Jingxue Chen, Qingkun Tang, Tianxiang Zhang, Qianchun Lu

CoRR, July, 2025

MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities.

Jingxue Chen, Qingkun Tang, Qianchun Lu, Siyuan Fang

CoRR, May, 2025

Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation.

Enci Zhang, Xingang Yan, Wei Lin, Tianxiang Zhang, Qianchun Lu

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

2020

Supervised Learning Based Resource Allocation with Network Slicing.

Tianxiang Zhang, Yuxin Bian, Qianchun Lu, Jin Qi, Kai Zhang, Hong Ji, Wanyuan Wang, Weiwei Wu

Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

2018

ALO-DM: A Smart Approach Based on Ant Lion Optimizer with Differential Mutation Operator in Big Data Analytics.

Peng Hu, Yongli Wang, Hening Wang, Ruxin Zhao, Chi Yuan, Yi Zheng, Qianchun Lu, Yanchao Li, Isma Masood

Proceedings of the Database Systems for Advanced Applications, 2018