Keshav Santhanam

25 papers A* 4A 1B 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. ECIR (4) Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup, Keshav Santhanam
2025	J	`jnl`	ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring. CoRR Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup, Keshav Santhanam
2025	J	`jnl`	PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries. CoRR Steven Kolawole, Keshav Santhanam, Virginia Smith, Pratiksha Thaker
2024	—	`conf`	ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia
2024	J	`jnl`	ALTO: An Efficient Network Orchestrator for Compound AI Systems. CoRR Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia
2024	A*	`conf`	DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. ICLR Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
2023	A*	`conf`	Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models. NeurIPS Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
2023	J	`jnl`	Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs. CoRR Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
2023	J	`jnl`	DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines. CoRR Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
2023	J	`jnl`	Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2023	—	`conf`	Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. ACL (Findings) Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avi Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts
2023	A*	`conf`	UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. EMNLP Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts
2023	J	`jnl`	UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. CoRR Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts
2022	—	`conf`	ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. NAACL-HLT Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia
2022	J	`jnl`	Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. CoRR Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia
2022	J	`jnl`	Holistic Evaluation of Language Models. CoRR Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
2022	J	`jnl`	Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. CoRR Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts
2022	A	`conf`	PLAID: An Efficient Engine for Late Interaction Retrieval. CIKM Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia
2022	J	`jnl`	PLAID: An Efficient Engine for Late Interaction Retrieval. CoRR Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia
2021	J	`jnl`	ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. CoRR Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia
2021	J	`jnl`	DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution. CoRR Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia
2021	—	`conf`	DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks. EuroMLSys@EuroSys Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew W. Fitzgibbon, Tim Harris
2020	A*	`conf`	Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. OSDI Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia
2020	J	`jnl`	Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. CoRR Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia
2018	B	`conf`	ROLA: A New Distributed Transaction Protocol and Its Formal Analysis. FASE Si Liu, Peter Csaba Ölveczky, Keshav Santhanam, Qi Wang, Indranil Gupta, José Meseguer