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ORCIDNelson F. Liu
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Journal Articles
- 2024
[j1]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: 157-173 (2024)
Conference and Workshop Papers
- 2023
- [c14]Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
:
Are Sample-Efficient NLP Models More Robust? ACL (2) 2023: 1689-1709 - [c13]Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang:
Do Question Answering Modeling Improvements Hold Across Benchmarks? ACL (1) 2023: 13186-13218 - [c12]Nelson F. Liu, Tianyi Zhang, Percy Liang:
Evaluating Verifiability in Generative Search Engines. EMNLP (Findings) 2023: 7001-7025 - 2022
- [c11]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL 2022: 100-110 - [c10]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: 101-122 - 2021
- [c9]Michael Kranzlein, Nelson F. Liu, Nathan Schneider:
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. EMNLP (Findings) 2021: 4919-4928 - [c8]Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider:
Lexical Semantic Recognition. MWE@ACL-IJCNLP 2021: 49-56 - 2020
- [c7]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: 1307-1323 - 2019
- [c6]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: 5962-5971 - [c5]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: 5924-5931 - [c4]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) 2019: 1073-1094 - [c3]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) 2019: 2171-2179 - 2018
- [c2]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL 2018: 180-186 - 2017
- [c1]Johannes Welbl, Nelson F. Liu, Matt Gardner:
Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP 2017: 94-106
Informal and Other Publications
- 2024
- [i19]John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning:
Instruction Following without Instruction Tuning. CoRR abs/2409.14254 (2024) - 2023
- [i18]Nelson F. Liu, Tianyi Zhang, Percy Liang:
Evaluating Verifiability in Generative Search Engines. CoRR abs/2304.09848 (2023) - [i17]Nelson F. Liu, Kenton Lee, Kristina Toutanova:
Anchor Prediction: Automatic Refinement of Internet Links. CoRR abs/2305.14337 (2023) - [i16]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 abs/2307.03172 (2023) - 2022
- [i15]Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia:
Are Sample-Efficient NLP Models More Robust? CoRR abs/2210.06456 (2022) - 2021
- [i14]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 abs/2102.01065 (2021) - [i13]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR abs/2104.08410 (2021) - [i12]Michael Kranzlein, Nelson F. Liu, Nathan Schneider:
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. CoRR abs/2109.07494 (2021) - [i11]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 abs/2112.00086 (2021) - 2020
- [i10]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 abs/2004.02709 (2020) - [i9]Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider:
Lexical Semantic Recognition. CoRR abs/2004.15008 (2020) - 2019
- [i8]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. CoRR abs/1903.08855 (2019) - [i7]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR abs/1904.02668 (2019) - [i6]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 abs/1906.07241 (2019) - [i5]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR abs/1908.05803 (2019) - 2018
- [i4]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 abs/1803.07640 (2018) - [i3]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. CoRR abs/1805.11653 (2018) - [i2]Nelson F. Liu, Jonathan May, Michael Pust, Kevin Knight:
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. CoRR abs/1808.05700 (2018) - 2017
- [i1]Johannes Welbl, Nelson F. Liu, Matt Gardner:
Crowdsourcing Multiple Choice Science Questions. CoRR abs/1707.06209 (2017)
Coauthor Index
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