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All Publications

  • Lost in the Middle: How Language Models Use Long Contexts TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., Liang, P. 2024; 12: 157-173
  • Do Question Answering Modeling Improvements Hold Across Benchmarks? Liu, N. F., Lee, T., Jia, R., Liang, P., Rogers, A., Boyd-Graber, J., Okazaki, N. ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2023: 13186-13218
  • Are Sample-Efficient NLP Models More Robust? Liu, N. F., Kumar, A., Liang, P., Jia, R., Boyd-Graber, J., Okazaki, N., Rogers, A. ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2023: 1689-1709
  • Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models Wu, Z., Liu, N. F., Potts, C., Assoc Computat Linguist ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2022: 100-110
  • Lexical Semantic Recognition Liu, N. F., Hershcovich, D., Kranzlein, M., Schneider, N., Assoc Computat Linguist ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2021: 49-56