Thorne, James

FEVER: a Large-scale Dataset for Fact Extraction and VERification

Thorne, J., Vlachos, A., Christodoulopoulos, C., & Mittal, A. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingMisinformation and Its Impacts

Cited by 1,343

KILT: a Benchmark for Knowledge Intensive Language Tasks

Petroni, F., Piktus, A., Fan, A., Lewis, P., Yazdani, M., De Cao, N., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 357

The Fact Extraction and VERification (FEVER) Shared Task

Thorne, J., Vlachos, A., Cocarascu, O., Christodoulopoulos, C., & Mittal, A. (2018) · Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 212

Evidence-based Factual Error Correction

Thorne, J., & Vlachos, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 39

Elastic weight consolidation for better bias inoculation

Thorne, J., & Vlachos, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 26

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Kim, S., Shin, J., Cho, Y., Jang, J., Longpre, S., Lee, H., Yun, S., Shin, S., Kim, S., Thorne, J., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15