Terra Blevins

According to our database, Terra Blevins authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models.

Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith

CoRR, 2024

Comparing Hallucination Detection Metrics for Multilingual Generation.

Haoqiang Kang, Terra Blevins, Luke Zettlemoyer

CoRR, 2024

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

Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.

Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje Karlsson, Peiqin Lin, Nikola Ljubesic, Lester James V. Miranda, Barbara Plank, Arij Riabi, Yuval Pinter

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Detecting Pretraining Data from Large Language Models.

Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Targeted Multilingual Adaptation for Low-resource Language Families.

C. M. Downey, Terra Blevins, Dhwani Serai, Dwija Parikh, Shane Steinert-Threlkeld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.

Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models.

Haoqiang Kang, Terra Blevins, Luke Zettlemoyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling.

Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.

Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Suppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubesic, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter

CoRR, 2023

Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages.

C. M. Downey, Terra Blevins, Nora Goldfine, Shane Steinert-Threlkeld

CoRR, 2023

Demystifying Prompts in Language Models via Perplexity Estimation.

Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompting Language Models for Linguistic Structure.

Terra Blevins, Hila Gonen, Luke Zettlemoyer

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Few-shot Mining of Naturally Occurring Inputs and Outputs.

Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer

CoRR, 2022

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

Terra Blevins, Luke Zettlemoyer

CoRR, 2022

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

Terra Blevins, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models.

Terra Blevins, Hila Gonen, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary.

Terra Blevins, Mandar Joshi, Luke Zettlemoyer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders.

Terra Blevins, Luke Zettlemoyer

CoRR, 2020

Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders.

Terra Blevins, Luke Zettlemoyer

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Better Character Language Modeling through Morphology.

Terra Blevins, Luke Zettlemoyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Deep RNNs Encode Soft Hierarchical Syntax.

Terra Blevins, Omer Levy, Luke Zettlemoyer

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression.

Terra Blevins, Robert Kwiatkowski, Jamie Macbeth, Kathleen R. McKeown, Desmond Upton Patton, Owen Rambow

Proceedings of the COLING 2016, 2016

Mining Paraphrasal Typed Templates from a Plain Text Corpus.

Or Biran, Terra Blevins, Kathleen R. McKeown

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016