Gehrmann, Sebastian

PaLM: Scaling Language Modeling with Pathways

Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,590

PaLM 2 Technical Report

Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 834

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

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

BloombergGPT: A Large Language Model for Finance

Wu, S., Irsoy, O., Lu, S., Dabravolski, V., Dredze, M., Gehrmann, S., Kambadur, P., Rosenberg, D., & Mann, G. (2023) · arXiv

Topic ModelingStock Market Forecasting Methods

Cited by 357

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Suzgun, M., Scales, N., Schärli, N., Gehrmann, S., Tay, Y., Chung, H. W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 253

ToTTo: A Controlled Table-To-Text Generation Dataset

Parikh, A., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 252

ToTTo: A Controlled Table-To-Text Generation Dataset

Parikh, A. P., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 252

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 Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

Tenney, I., Wexler, J., Bastings, J., Bolukbasi, T., Coenen, A., Gehrmann, S., Jiang, E., Pushkarna, M., Radebaugh, C., Reif, E., et al. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Natural Language Processing Techniques

Cited by 138

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Gehrmann, S., Clark, E., & Sellam, T. (2023) · Journal of Artificial Intelligence Research

Natural Language Processing TechniquesTopic Modeling

Cited by 123

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

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Suzgun, M., Scales, N., Schärli, N., Gehrmann, S., Tay, Y., Chung, H. W., Chowdhery, A., Le, Q. V., Chi, E. H., Zhou, D., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 44

Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs

Spangher, A., Peng, N., Gehrmann, S., & Dredze, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Journalism and Media StudiesNews Media Framing and Political Communication

Cited by 5