- Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification [2023, ACL]
- Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach [2023, ACL]
- Deep Active Learning for Morphophonological Processing [2023, ACL]
- Counterfactual Active Learning for Out-of-Distribution Generalization [2023, ACL]
- Subsequence Based Deep Active Learning for Named Entity Recognition [2022, ACL/IJCNLP]
- Adapting Coreference Resolution Models through Active Learning [2022, ACL]
- On the Importance of Effectively Adapting Pretrained Language Models for Active Learning [2022, ACL]
- Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning [2020, ACL]
- Learning How to Actively Learn: A Deep Imitation Learning Approach [2018, ACL]
- Active Sentiment Domain Adaptation [2017, ACL]
- Multi-task active learning for linguistic annotations [2008, ACL Press]