Nelson F. Liu - RankMe

38 papers A* 1Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models. EMNLP Alex Laitenberger, Christopher D. Manning, Nelson F. Liu
2025	J	`jnl`	Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models. CoRR Alex Laitenberger, Christopher D. Manning, Nelson F. Liu
2024	—	`conf`	Inference and Verbalization Functions During In-Context Learning. EMNLP (Findings) Junyi Tao, Xiaoyin Chen, Nelson F. Liu
2024	J	`jnl`	Inference and Verbalization Functions During In-Context Learning. CoRR Junyi Tao, Xiaoyin Chen, Nelson F. Liu
2024	J	`jnl`	Instruction Following without Instruction Tuning. CoRR John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning
2024	J	`jnl`	Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
2023	J	`jnl`	Anchor Prediction: Automatic Refinement of Internet Links. CoRR Nelson F. Liu, Kenton Lee, Kristina Toutanova
2023	—	`conf`	Are Sample-Efficient NLP Models More Robust? ACL (2) Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2023	—	`conf`	Do Question Answering Modeling Improvements Hold Across Benchmarks? ACL (1) Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
2023	—	`conf`	Evaluating Verifiability in Generative Search Engines. EMNLP (Findings) Nelson F. Liu, Tianyi Zhang, Percy Liang
2023	J	`jnl`	Evaluating Verifiability in Generative Search Engines. CoRR Nelson F. Liu, Tianyi Zhang, Percy Liang
2023	J	`jnl`	Lost in the Middle: How Language Models Use Long Contexts. CoRR Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
2022	J	`jnl`	Are Sample-Efficient NLP Models More Robust? CoRR Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2022	—	`conf`	Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. *SEM@NAACL-HLT Ronen Tamari, Kyle Richardson, Noam Kahlon, Aviad Sar-Shalom, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf
2022	—	`conf`	Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL Zhengxuan Wu, Nelson F. Liu, Christopher Potts
2021	J	`jnl`	Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. CoRR Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
2021	J	`jnl`	Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. CoRR Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf
2021	J	`jnl`	Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR Zhengxuan Wu, Nelson F. Liu, Christopher Potts
2021	—	`conf`	Lexical Semantic Recognition. MWE@ACL-IJCNLP Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
2021	—	`conf`	Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. EMNLP (Findings) Michael Kranzlein, Nelson F. Liu, Nathan Schneider
2021	J	`jnl`	Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. CoRR Michael Kranzlein, Nelson F. Liu, Nathan Schneider
2020	—	`conf`	Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 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
2020	J	`jnl`	Evaluating NLP Models via Contrast Sets. CoRR 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
2020	J	`jnl`	Lexical Semantic Recognition. CoRR Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
2019	—	`conf`	Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	J	`jnl`	Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	—	`conf`	Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) Nelson F. Liu, Roy Schwartz, Noah A. Smith
2019	J	`jnl`	Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR Nelson F. Liu, Roy Schwartz, Noah A. Smith
2019	—	`conf`	Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Linguistic Knowledge and Transferability of Contextual Representations. CoRR Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	—	`conf`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2019	J	`jnl`	Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
2018	J	`jnl`	AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
2018	J	`jnl`	Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. CoRR Nelson F. Liu, Jonathan May, Michael Pust, Kevin Knight
2018	—	`conf`	LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2018	J	`jnl`	LSTMs Exploit Linguistic Attributes of Data. CoRR Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2017	—	`conf`	Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP Johannes Welbl, Nelson F. Liu, Matt Gardner
2017	J	`jnl`	Crowdsourcing Multiple Choice Science Questions. CoRR Johannes Welbl, Nelson F. Liu, Matt Gardner