Wenxuan Zhou

Contrastive Out-of-Distribution Detection for Pretrained Transformers

2021 · arXiv (Cornell University)

Pretrained Transformers achieve remarkable performance when training and test data are from the same distribution. However, in real-world scenarios, the model often faces out-of-distribution (OOD) instances that can cause severe semantic shift problems at inference …

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Document-level relation extraction (RE) poses new challenges compared to its sentence-level counterpart. One document commonly contains multiple entity pairs, and one entity pair occurs multiple times in the document associated with multiple possible relations. In …