Simran Arora

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Test Collection

Top Venues

Proc. VLDB Endow.

Publications

Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
Simple linear attention language models balance the recall-throughput tradeoff. CoRR (2024)
Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré
Just read twice: closing the recall gap for recurrent language models. CoRR (2024)
Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR (2024)
Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI (2024)
Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR (2024)
Megha Srivastava, Simran Arora, Dan Boneh
Optimistic Verifiable Training by Controlling Hardware Nondeterminism. CoRR (2024)
Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR (2023)
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR (2023)
Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. 17 (2) (2023)
Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR (2023)
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS (2023)
Soumya Chatterjee, Omar Khattab, Simran Arora
Resources and Evaluations for Multi-Distribution Dense Information Retrieval. CoRR (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS (2023)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. ICLR (2023)
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR (2023)
Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
Reasoning over Public and Private Data in Retrieval-Based Systems. Trans. Assoc. Comput. Linguistics 11 (2023)
Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR (2023)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. CoRR (2022)
Simran Arora, Christopher Ré
Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR (2022)
Simran Arora, Sen Wu, Enci Liu, Christopher Ré
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) (2022)
Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR (2022)
Simran Arora, Sen Wu, Enci Liu, Christopher Ré
Metadata Shaping: Natural Language Annotations for the Tail. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR (2021)
Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? CoRR (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? ACL (2020)
Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo
Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference (2019)