Simran Arora - RankMe

43 papers A* 13A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System. CoRR Hao Kang, Ziyang Li, Xinyu Yang, Weili Xu, Yinfang Chen, Junxiong Wang, Beidi Chen, Tushar Krishna, Chenfeng Xu, Simran Arora
2025	J	`jnl`	Cartridges: Lightweight and general-purpose long context representations via self-study. CoRR Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Will Tennien, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	HipKittens: Fast and Furious AMD Kernels. CoRR William Hu, Drew Wadsworth, Sean Siddens, Stanley Winata, Daniel Y. Fu, Ryan Swann, Muhammad Osama, Christopher Ré, Simran Arora
2025	A*	`conf`	KernelBench: Can LLMs Write Efficient GPU Kernels? ICML Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	KernelBench: Can LLMs Write Efficient GPU Kernels? CoRR Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	A*	`conf`	LoLCATs: On Low-Rank Linearizing of Large Language Models. ICLR Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Frederick Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher Ré
2025	J	`jnl`	ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels. CoRR Stuart H. Sul, Simran Arora, Benjamin Frederick Spector, Christopher Ré
2025	A*	`conf`	ThunderKittens: Simple, Fast, and Adorable Kernels. ICLR Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher Ré
2025	A*	`conf`	Towards Learning High-Precision Least Squares Algorithms with Sequence Models. ICLR Jerry Weihong Liu, Jessica Grogan, Owen M. Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Ré
2025	J	`jnl`	Towards Learning High-Precision Least Squares Algorithms with Sequence Models. CoRR Jerry W. Liu, Jessica Grogan, Owen Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher Ré
2024	A*	`conf`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	J	`jnl`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	J	`jnl`	Just read twice: closing the recall gap for recurrent language models. CoRR Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré
2024	J	`jnl`	LoLCATs: On Low-Rank Linearizing of Large Language Models. CoRR Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré
2024	A*	`conf`	Optimistic Verifiable Training by Controlling Hardware Nondeterminism. NeurIPS Megha Srivastava, Simran Arora, Dan Boneh
2024	J	`jnl`	Optimistic Verifiable Training by Controlling Hardware Nondeterminism. CoRR Megha Srivastava, Simran Arora, Dan Boneh
2024	A*	`conf`	RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
2024	A*	`conf`	Simple linear attention language models balance the recall-throughput tradeoff. ICML Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré
2024	J	`jnl`	Simple linear attention language models balance the recall-throughput tradeoff. CoRR Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
2024	J	`jnl`	ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré
2024	A*	`conf`	Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2023	A*	`conf`	Ask Me Anything: A simple strategy for prompting language models. ICLR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré
2023	A*	`conf`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 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
2023	J	`jnl`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR 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
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	A*	`conf`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
2023	J	`jnl`	Reasoning over Public and Private Data in Retrieval-Based Systems. Trans. Assoc. Comput. Linguistics Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
2023	J	`jnl`	Resources and Evaluations for Multi-Distribution Dense Information Retrieval. CoRR Soumya Chatterjee, Omar Khattab, Simran Arora
2023	J	`jnl`	Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2022	J	`jnl`	Ask Me Anything: A simple strategy for prompting language models. CoRR Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
2022	J	`jnl`	Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR Simran Arora, Christopher Ré
2022	—	`conf`	Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) Simran Arora, Sen Wu, Enci Liu, Christopher Ré
2022	J	`jnl`	Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré
2021	A	`conf`	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré
2021	J	`jnl`	Metadata Shaping: Natural Language Annotations for the Tail. CoRR Simran Arora, Sen Wu, Enci Liu, Christopher Ré
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR 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.
2020	J	`jnl`	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré
2020	A*	`conf`	Contextual Embeddings: When Are They Worth It? ACL Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Contextual Embeddings: When Are They Worth It? CoRR Simran Arora, Avner May, Jian Zhang, Christopher Ré
2019	—	`conf`	Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo