Nelson F. Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Language Modeling

Natural Language Processing

Multiple Choice

Linguistic Knowledge

Top Venues

EMNLP (Findings)

Publications

Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics 12 (2024)
Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
Are Sample-Efficient NLP Models More Robust? ACL (2) (2023)
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
Lost in the Middle: How Language Models Use Long Contexts. CoRR (2023)
Nelson F. Liu, Kenton Lee, Kristina Toutanova
Anchor Prediction: Automatic Refinement of Internet Links. CoRR (2023)
Nelson F. Liu, Tianyi Zhang, Percy Liang
Evaluating Verifiability in Generative Search Engines. EMNLP (Findings) (2023)
Nelson F. Liu, Tianyi Zhang, Percy Liang
Evaluating Verifiability in Generative Search Engines. CoRR (2023)
Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
Do Question Answering Modeling Improvements Hold Across Benchmarks? ACL (1) (2023)
Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
Are Sample-Efficient NLP Models More Robust? CoRR (2022)
Zhengxuan Wu, Nelson F. Liu, Christopher Potts
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL (2022)
Ronen Tamari, Kyle Richardson, Noam Kahlon, Aviad Sar-Shalom, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. *SEM@NAACL-HLT (2022)
Michael Kranzlein, Nelson F. Liu, Nathan Schneider
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. CoRR (2021)
Zhengxuan Wu, Nelson F. Liu, Christopher Potts
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR (2021)
Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
Lexical Semantic Recognition. MWE@ACL-IJCNLP (2021)
Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. CoRR (2021)
Michael Kranzlein, Nelson F. Liu, Nathan Schneider
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. EMNLP (Findings) (2021)
Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. CoRR (2021)
Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
Lexical Semantic Recognition. CoRR (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. CoRR (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) (2019)
Nelson F. Liu, Roy Schwartz, Noah A. Smith
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) (2019)
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) (2019)
Nelson F. Liu, Roy Schwartz, Noah A. Smith
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) (2019)
Nelson F. Liu, Jonathan May, Michael Pust, Kevin Knight
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. CoRR (2018)
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR (2018)
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
LSTMs Exploit Linguistic Attributes of Data. CoRR (2018)
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL (2018)
Johannes Welbl, Nelson F. Liu, Matt Gardner
Crowdsourcing Multiple Choice Science Questions. CoRR (2017)
Johannes Welbl, Nelson F. Liu, Matt Gardner
Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP (2017)