most citedTowards Explainable Artificial Intelligence (XAI): A Data Mining Perspective

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

SWRouter: Similarity-Contractive Window Routing for Multi-Turn Large Language Model Conversations

Yu Wang, Yuchen Li, Rui Kong +11

Large language models exhibit complementary strengths, motivating routing methods that dispatch each query to the most suitable model. Although existing routers are effective in si…

cs.CL2026

Measuring Maximum Activations in Open Large Language Models

Luxuan Chen, Han Tian, Xinran Chen +9

The dynamic range of activations is a first-order constraint for low-bit quantization, activation scaling, and stable LLM inference. Prior work characterized outlier features and m…

cs.CL2026

EndPrompt: Efficient Long-Context Extension via Terminal Anchoring

Han Tian, Luxuan Chen, Xinran Chen +10

Extending the context window of large language models typically requires training on sequences at the target length, incurring quadratic memory and computational costs that make lo…

eess.IV2024

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training

Jiamin Chen, Xuhong Li, Yanwu Xu +2

Medical image segmentation aims to identify and locate abnormal structures in medical images, such as chest radiographs, using deep neural networks. These networks require a large…

cs.AI2024★ 8 cited

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective

Haoyi Xiong, Xuhong Li, Xiaofei Zhang +5

Given the complexity and lack of transparency in deep neural networks (DNNs), extensive efforts have been made to make these systems more interpretable or explain their behaviors i…