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2020 – today
- 2024
[c11]Furui Cheng
, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI 2024: 647:1-647:18- [c10]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 - [c9]Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré:
Simple linear attention language models balance the recall-throughput tradeoff. ICML 2024 - [c8]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML 2024 - [i19]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 abs/2402.07440 (2024) - [i18]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 abs/2402.18668 (2024) - [i17]Megha Srivastava, Simran Arora, Dan Boneh:
Optimistic Verifiable Training by Controlling Hardware Nondeterminism. CoRR abs/2403.09603 (2024) - [i16]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 abs/2407.05483 (2024) - [i15]Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré:
LoLCATs: On Low-Rank Linearizing of Large Language Models. CoRR abs/2410.10254 (2024) - [i14]Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré:
ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR abs/2410.20399 (2024) - 2023
- [j2]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): 92-105 (2023) - [j1]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: 902-921 (2023) - [c7]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 - [c6]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 - [c5]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 - [i13]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 abs/2304.09433 (2023) - [i12]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 abs/2306.11698 (2023) - [i11]Soumya Chatterjee, Omar Khattab, Simran Arora:
Resources and Evaluations for Multi-Distribution Dense Information Retrieval. CoRR abs/2306.12601 (2023) - [i10]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 abs/2310.12109 (2023) - [i9]Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR abs/2311.16842 (2023) - [i8]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 abs/2312.04927 (2023) - 2022
- [c4]Simran Arora, Sen Wu, Enci Liu, Christopher Ré:
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) 2022: 1733-1745 - [i7]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR abs/2203.11027 (2022) - [i6]Simran Arora, Christopher Ré:
Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR abs/2205.13722 (2022) - [i5]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 abs/2210.02441 (2022) - 2021
- [c3]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 - [i4]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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i3]Simran Arora, Sen Wu, Enci Liu, Christopher Ré:
Metadata Shaping: Natural Language Annotations for the Tail. CoRR abs/2110.08430 (2021) - 2020
- [c2]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? ACL 2020: 2650-2663 - [i2]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? CoRR abs/2005.09117 (2020) - [i1]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 abs/2010.10363 (2020)
2010 – 2019
- 2019
- [c1]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: 1411-1428
Coauthor Index
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