Da Yan

Discovering Language Model Behaviors with Model-Written Evaluations

2022 · arXiv (Cornell University)

As language models (LMs) scale, they develop many novel behaviors, good and bad, exacerbating the need to evaluate how they behave. Prior work creates evaluations with crowdwork (which is time-consuming and expensive) or existing data …

Federated Fingerprint Learning with Heterogeneous Architectures

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Recent studies on federated learning (FL) have sought to solve the system heterogeneity issue by designing customized local models for different clients. However, public dataset introduction, sensitive information exchange, non-trivial computational cost, or particular architecture …