VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection.
CoRR, 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
How Good Are LLMs at Out-of-Distribution Detection?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Continual Dialogue State Tracking via Reason-of-Select Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning.
IEEE Trans. Medical Imaging, May, 2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
A Closer Look at Few-Shot Out-of-Distribution Intent Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
New Intent Discovery with Pre-training and Contrastive Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Adaptation-Agnostic Meta-Training.
CoRR, 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Effectiveness of Pre-training for Few-shot Intent Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
A Closer Look at the Training Strategy for Modern Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Medical Visual Question Answering via Conditional Reasoning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Variational Metric Scaling for Metric-Based Meta-Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020