Potthast, Martin

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Cross-language plagiarism detection

Potthast, M., Barrón-Cedeño, A., Stein, B., & Rosso, P. (2011) · Language Resources and Evaluation

Academic integrity and plagiarismNatural Language Processing Techniques

Cited by 286

SemEval-2019 Task 4: Hyperpartisan News Detection

Kiesel, J., Mestre, M., Shukla, R., Vincent, E., Adineh, P., Corney, D., Stein, B., & Potthast, M. (2019) · Proceedings of the 13th International Workshop on Semantic Evaluation

Misinformation and Its ImpactsSentiment Analysis and Opinion Mining

Cited by 193

Perspectives on Large Language Models for Relevance Judgment

Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., et al. (2023) · Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 184

Zero-shot Generative Large Language Models for Systematic Review Screening Automation

Wang, S., Scells, H., Zhuang, S., Potthast, M., Koopman, B., & Zuccon, G. (2024) · Lecture Notes in Computer Science

Meta-analysis and systematic reviewsTopic Modeling

Cited by 26

Zero-shot Generative Large Language Models for Systematic Review Screening Automation

Wang, S., Scells, H., Zhuang, S., Potthast, M., Koopman, B., & Zuccon, G. (2024) · arXiv

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 5