Strobelt, Hendrik

GLTR: Statistical Detection and Visualization of Generated Text

Gehrmann, S., Strobelt, H., & Rush, A. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 470

GLTR: Statistical Detection and Visualization of Generated Text

Gehrmann, S., Strobelt, H., & Rush, A. M. (2019) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 460

Understanding the role of individual units in a deep neural network

Bau, D., Zhu, J.-Y., Strobelt, H., Lapedriza, A., Zhou, B., & Torralba, A. (2020) · Proceedings of the National Academy of Sciences

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 375

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

Strobelt, H., Webson, A., Sanh, V., Hoover, B., Beyer, J., Pfister, H., & Rush, A. M. (2022) · arXiv

Topic ModelingData Visualization and Analytics

Cited by 204

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models

Strobelt, H., Webson, A., Sanh, V., Hoover, B., Beyer, J., Pfister, H., & Rush, A. M. (2022) · IEEE Transactions on Visualization and Computer Graphics

Topic ModelingData Visualization and Analytics

Cited by 204

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Aremu, A., Bosselut, A., Chandu, K. R., Clinciu, M.-A., Das, D., Dhole, K., et al. (2021) · Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)

Natural Language Processing TechniquesTopic Modeling

Cited by 159

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models

Hoover, B., Strobelt, H., & Gehrmann, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 151

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Anuoluwapo, A., Bosselut, A., Chandu, K. R., Clinciu, M., Das, D., Dhole, K. D., et al. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 49

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models

Weisz, J. D., Maher, M. L., Strobelt, H., Chilton, L. B., Bau, D., & Geyer, W. (2022) · 27th International Conference on Intelligent User Interfaces

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 14

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities

Amara, K., Klein, L., Lüth, C., Jäger, P., Strobelt, H., & El-Assady, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1