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cs.CV2026
CFPO: Counterfactual Policy Optimization for Multimodal Reasoning
Zhangyuan Yu, Wanran Sun, Guangjing Yang +2
Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in multimodal reasoning. However, prevailing reinforcement learning (RL) paradigms lack explicit coun…
cs.LG2026
Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor
Jiayu Huang, Xiaohu Wu, Tiantian He +1
Large Language Models (LLMs) are pivotal in natural language processing. The impracticality of full fine-tuning has prompted Parameter-Efficient Fine-Tuning (PEFT) methods like Low…