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cs.AI2026
Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective
Jiahe Fan, Yinghao Hou, Si Chen +3
Can large language models with substantially different parameter spaces be merged by direct weighted averaging, without training or semantic alignment? Existing heterogeneous fusio…
cs.AI2026
Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance
Wei Yang, Hong Xie, Tao Tan +3
While open sourced Vision-Language Models (VLMs) have proliferated, selecting the optimal pretrained model for a specific downstream task remains challenging. Exhaustive evaluation…
cs.AI2025
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
Hong Xie, Haoran Gu, Yanying Huang +2
This paper proposes a variant of multiple-play stochastic bandits tailored to resource allocation problems arising from LLM applications, edge intelligence, etc. The model is compo…