Publications
2023
- Pre-trained Language Models in Biomedical Domain: A Survey from Multiscale PerspectiveACM Computing Surveys 2023
- Adapting Pre-trained Language Models for Quantum Natural Language ProcessingarXiv preprint arXiv:2302.13812 2023
- Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision BoundaryIn AAAI 2023
- Lifting the Curse of Capacity Gap in Distilling Language ModelsACL 2023 2023
- One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue SystemsACL 2023 2023
- On the Difference of BERT-style and CLIP-style Text EncodersACL 2023 findings 2023
- Few-Shot Class-Incremental Learning for Medical Time Series ClassificationIEEE Journal of Biomedical and Health Informatics 2023
- Natural language reasoning, a surveyarXiv preprint arXiv:2303.14725 2023
- Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous SubstitutionarXiv preprint arXiv:2305.15010 2023
2022
- Exploring extreme parameter compression for pre-trained language modelsIn ICLR 2022 2022
- Document-level Relation Extraction with Relation CorrelationsarXiv preprint arXiv:2212.10171 2022
- Hypoformer: Hybrid decomposition transformer for edge-friendly neural machine translationIn Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022