Blevins, Terra

Demystifying Prompts in Language Models via Perplexity Estimation

Gonen, H., Iyer, S., Blevins, T., Smith, N., & Zettlemoyer, L. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 109

Demystifying Prompts in Language Models via Perplexity Estimation

Gonen, H., Iyer, S., Blevins, T., Smith, N. A., & Zettlemoyer, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 109

Detecting Pretraining Data from Large Language Models

Shi, W., Ajith, A., Xia, M., Huang, Y., Liu, D., Blevins, T., Chen, D., & Zettlemoyer, L. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 37

Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models

Blevins, T., & Zettlemoyer, L. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 27

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Asai, A., Kudugunta, S., Yu, X. V., Blevins, T., Gonen, H., Reid, M., Tsvetkov, Y., Ruder, S., & Hajishirzi, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

Embedding Structure Matters: Comparing Methods to Adapt Multilingual Vocabularies to New Languages

Downey, C. M., Blevins, T., Goldfine, N., & Steinert-Threlkeld, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Comparing Hallucination Detection Metrics for Multilingual Generation

Kang, H., Blevins, T., & Zettlemoyer, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3