Simran Arora

According to our database, Simran Arora authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

ThunderKittens: Simple, Fast, and Adorable AI Kernels.

Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré

CoRR, 2024

LoLCATs: On Low-Rank Linearizing of Large Language Models.

Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré

CoRR, 2024

Just read twice: closing the recall gap for recurrent language models.

Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré

CoRR, 2024

Optimistic Verifiable Training by Controlling Hardware Nondeterminism.

Megha Srivastava, Simran Arora, Dan Boneh

CoRR, 2024

Simple linear attention language models balance the recall-throughput tradeoff.

Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré

CoRR, 2024

Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT.

Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Simple linear attention language models balance the recall-throughput tradeoff.

Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Zoology: Measuring and Improving Recall in Efficient Language Models.

Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RELIC: Investigating Large Language Model Responses using Self-Consistency.

Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Reasoning over Public and Private Data in Retrieval-Based Systems.

Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré

Trans. Assoc. Comput. Linguistics, 2023

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.

Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré

Proc. VLDB Endow., 2023

Resources and Evaluations for Multi-Distribution Dense Information Retrieval.

Soumya Chatterjee, Omar Khattab, Simran Arora

CoRR, 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.

Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré

CoRR, 2022

Can Foundation Models Help Us Achieve Perfect Secrecy?

Simran Arora, Christopher Ré

CoRR, 2022

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models.

Simran Arora, Sen Wu, Enci Liu, Christopher Ré

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Metadata Shaping: Natural Language Annotations for the Tail.

Simran Arora, Sen Wu, Enci Liu, Christopher Ré

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. 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 E. 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.

CoRR, 2021

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation.

Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Contextual Embeddings: When Are They Worth It?

Simran Arora, Avner May, Jian Zhang, Christopher Ré

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Optimizing Declarative Graph Queries at Large Scale.

Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo

Proceedings of the 2019 International Conference on Management of Data, 2019