4 papers
Adversarial Topic-aware Prompt-tuning for Cross-topic Automated Essay Scoring
Chunyun Zhang, Hongyan Zhao, Chaoran Cui +4
Cross-topic automated essay scoring (AES) aims to develop a transferable model capable of effectively evaluating essays on a target topic. A significant challenge in this domain ar…
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Shuai Gong, Chaoran Cui, Xiaolin Dong +3
Federated domain generalization (FedDG) aims to learn a globally generalizable model from decentralized clients with heterogeneous data while preserving privacy. Recent studies hav…
Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptation
Chaoran Cui, Yongrui Zhen, Shuai Gong +3
Continual test-time adaptation (CTTA) has recently emerged to adapt a pre-trained source model to continuously evolving target distributions, which accommodates the dynamic nature…
Federated Domain Generalization via Prompt Learning and Aggregation
Shuai Gong, Chaoran Cui, Chunyun Zhang +3
Federated domain generalization (FedDG) aims to improve the global model generalization in unseen domains by addressing data heterogeneity under privacy-preserving constraints. A c…