All Publications


  • RELIC: Investigating Large Language Model Responses using Self-Consistency Cheng, F., Zouhar, V., Arora, S., Sachan, M., Strobelt, H., El-Assady, M., ACM ASSOC COMPUTING MACHINERY. 2024
  • Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes Arora, S., Yang, B., Eyuboglu, S., Narayan, A., Hojel, A., Trummer, I., Re, C. ASSOC COMPUTING MACHINERY. 2023: 92-105
  • Reasoning over Public and Private Data in Retrieval-Based Systems TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS Arora, S., Lewis, P., Fan, A., Kahn, J., Re, C. 2023; 11: 902-921
  • DECODINGTRUST: A Comprehensive Assessment of Trustworthiness in GPT Models Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., Truong, S. T., Arora, S., Mazeika, M., Hendrycks, D., Lin, Z., Cheng, Y., Koyejo, S., Song, D., Li, B., Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2023
  • MONARCH MIXER: A Simple Sub-Quadratic GEMM-Based Architecture Fu, D. Y., Arora, S., Grogan, J., Johnson, I., Eyuboglu, S., Thomas, A. W., Spector, B., Poli, M., Rudra, A., Re, C., Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2023
  • Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models Arora, S., Wu, S., Liu, E., Re, C., Assoc Computa Linguist ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2022: 1733-1745
  • Contextual Embeddings: When Are They Worth It? Arora, S., May, A., Zhang, J., Re, C., Assoc Computat Linguist ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2020: 2650–63