Crowdsourcing Multiple Choice Science Questions. - Johannes Welbl; Nelson F. Liu; Matt Gardner 001 (NUT@EMNLP, 2017)

LSTMs Exploit Linguistic Attributes of Data. - Nelson F. Liu; Omer Levy; Roy Schwartz 001; Chenhao Tan; Noah A. Smith (Rep4NLP@ACL, 2018)

AllenNLP: A Deep Semantic Natural Language Processing Platform. - Matt Gardner 001; Joel Grus; Mark Neumann; Oyvind Tafjord; Pradeep Dasigi; Nelson F. Liu; Matthew E. Peters; Michael Schmitz 002; Luke Zettlemoyer (CoRR, 2018)

Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. - Nelson F. Liu; Jonathan May; Michael Pust; Kevin Knight (CoRR, 2018)

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. - Robert L. Logan IV; Nelson F. Liu; Matthew E. Peters; Matt Gardner 001; Sameer Singh 001 (ACL (1), 2019)

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. - Pradeep Dasigi; Nelson F. Liu; Ana Marasovic; Noah A. Smith; Matt Gardner 001 (EMNLP/IJCNLP (1), 2019)

Linguistic Knowledge and Transferability of Contextual Representations. - Nelson F. Liu; Matt Gardner 001; Yonatan Belinkov; Matthew E. Peters; Noah A. Smith (NAACL-HLT (1), 2019)

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. - Nelson F. Liu; Roy Schwartz 001; Noah A. Smith (NAACL-HLT (1), 2019)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. - Michael Kranzlein; Nelson F. Liu; Nathan Schneider 001 (EMNLP (Findings), 2021)

Lexical Semantic Recognition. - Nelson F. Liu; Daniel Hershcovich; Michael Kranzlein; Nathan Schneider 001 (MWE@ACL-IJCNLP, 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)

Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. - Zhengxuan Wu; Nelson F. Liu; Christopher Potts (RepL4NLP@ACL, 2022)

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. - Ronen Tamari; Kyle Richardson 001; Noam Kahlon; Aviad Sar-Shalom; Nelson F. Liu; Reut Tsarfaty; Dafna Shahaf (*SEM@NAACL-HLT, 2022)

Are Sample-Efficient NLP Models More Robust? - Nelson F. Liu; Ananya Kumar; Percy Liang; Robin Jia (ACL (2), 2023)

Do Question Answering Modeling Improvements Hold Across Benchmarks? - Nelson F. Liu; Tony Lee; Robin Jia; Percy Liang (ACL (1), 2023)

Evaluating Verifiability in Generative Search Engines. - Nelson F. Liu; Tianyi Zhang; Percy Liang (EMNLP (Findings), 2023)

Anchor Prediction: Automatic Refinement of Internet Links. - Nelson F. Liu; Kenton Lee; Kristina Toutanova (CoRR, 2023)

Inference and Verbalization Functions During In-Context Learning. - Junyi Tao; Xiaoyin Chen; Nelson F. Liu (EMNLP (Findings), 2024)

Instruction Following without Instruction Tuning. - John Hewitt; Nelson F. Liu; Percy Liang; Christopher D. Manning (CoRR, 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)

Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models. - Alex Laitenberger; Christopher D. Manning; Nelson F. Liu (CoRR, 2025)