3 papers
cs.SE2025
Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software
Ying Xiao, Shangwen Wang, Sicen Liu +4
Traditional software fairness research typically emphasizes ethical and social imperatives, neglecting that fairness fundamentally represents a core software quality issue arising…
cs.PF2025
Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric
Hao Chen, Cong Tian, Zixuan He +3
With the significant success achieved by large language models (LLMs) like LLaMA, edge computing-based LLM inference services for mobile and PC are in high demand for data privacy.…
cs.AI2025
FairMedQA: Benchmarking Bias in Large Language Models for Medical Question Answering
Ying Xiao, Jie Huang, Ruijuan He +6
Large language models (LLMs) are approaching expert-level performance in medical question answering (QA), demonstrating strong potential to improve public healthcare. However, unde…