3 papers
cs.AI2026
Evolutionary Negative Module Pruning for Better LoRA Merging
Anda Cao, Zhuo Gou, Yi Wang +5
Merging multiple Low-Rank Adaptation (LoRA) experts into a single backbone is a promising approach for efficient multi-task deployment. While existing methods strive to alleviate i…
cs.AI2025
Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation
Junshu Dai, Yu Wang, Tongya Zheng +6
The precise prediction of human mobility has produced significant socioeconomic impacts, such as location recommendations and evacuation suggestions. However, existing methods suff…
cs.AI2025
Reinforced Model Merging
Jiaqi Han, Jingwen Ye, Shunyu Liu +4
The success of large language models has garnered widespread attention for model merging techniques, especially training-free methods which combine model capabilities within the pa…