Nelson F. Liu

According to our database, Nelson F. Liu authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

Lost in the Middle: How Language Models Use Long Contexts.

Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang

Trans. Assoc. Comput. Linguistics, 2024

Instruction Following without Instruction Tuning.

John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning

CoRR, 2024

Inference and Verbalization Functions During In-Context Learning.

Junyi Tao, Xiaoyin Chen, Nelson F. Liu

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

2023

Anchor Prediction: Automatic Refinement of Internet Links.

Nelson F. Liu, Kenton Lee, Kristina Toutanova

CoRR, 2023

Evaluating Verifiability in Generative Search Engines.

Nelson F. Liu, Tianyi Zhang, Percy Liang

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

Do Question Answering Modeling Improvements Hold Across Benchmarks?

Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang

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

Are Sample-Efficient NLP Models More Robust?

Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking.

Ronen Tamari, Kyle Richardson, Noam Kahlon, Aviad Sar-Shalom, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models.

Zhengxuan Wu, Nelson F. Liu, Christopher Potts

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

2021

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang

CoRR, 2021

Lexical Semantic Recognition.

Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider

Proceedings of the 17th Workshop on Multiword Expressions, 2021

Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets.

Michael Kranzlein, Nelson F. Liu, Nathan Schneider

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets.

Nelson F. Liu, Roy Schwartz, Noah A. Smith

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Linguistic Knowledge and Transferability of Contextual Representations.

Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.

Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling.

Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh

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

2018

Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words.

Nelson F. Liu, Jonathan May, Michael Pust, Kevin Knight

CoRR, 2018

AllenNLP: A Deep Semantic Natural Language Processing Platform.

Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer

CoRR, 2018

LSTMs Exploit Linguistic Attributes of Data.

Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017

Crowdsourcing Multiple Choice Science Questions.

Johannes Welbl, Nelson F. Liu, Matt Gardner

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017