3 papers
cs.CL2026
SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
Sichun Luo, Yi Huang, Haochen Luo +7
Large Language Model (LLM)-guided evolutionary search is increasingly used for automated algorithm discovery, yet most current methods track search progress primarily through execu…
cs.CL2026
ShapLoRA: Allocation of Low-rank Adaption on Large Language Models via Shapley Value Inspired Importance Estimation
Yi Zhao, Qinghua Yao, Xinyuan song +1
Low-rank adaption (LoRA) is a representative method in the field of parameter-efficient fine-tuning (PEFT), and is key to Democratizating the modern large language models (LLMs). T…
cs.LG2025
X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment
Qinghua Yao, Xiangrui Xu, Zhize Li
Vertical Federated Learning (VFL) enables collaborative learning by integrating disjoint feature subsets from multiple clients/parties. However, VFL typically faces two key challen…