Su Zhang
2 indexed papers
Recent (6 mo)
2With code
0Influential cites
0Benchmarked
0Publications per year
226
Top categories
AI×1Crypto×1ML×1
Frequent co-authors
Research Timeline
2026
FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
FedAttr introduces a novel client-level attribution protocol for Federated Learning (FL) that accurately identifies which clients trained on watermarked data while maintaining strong privacy guarantees.
Can We Trust Item Response Theory for AI Evaluation?
This paper evaluates the reliability of using item response theory (IRT) models for AI benchmarking, comparing four estimation tools under various simulation conditions.
Highlighted terms show continued research focus across papers
Papers
cs.AIEmpiricalRecentJul 16, 2026
Can We Trust Item Response Theory for AI Evaluation?
Han Jiang, Sunbeom Kwon, Jinwen Luo, Ziang Xiao +1 more
This paper evaluates the reliability of using item response theory (IRT) models for AI benchmarking, comparing four estimation tools under various simulation conditions.
View →
cs.CRcs.LGRecentMay 7, 2026