Keshav Santhanam

PhD student, Stanford University

Joined

January 2022

Names

Keshav Santhanam (Preferred)

Emails

****@cs.stanford.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Stanford University (stanford.edu)

2019 – Present

MS student

Stanford University (stanford.edu)

2017 – 2019

Undergrad student

University of Illinois at Urbana-Champaign (illinois.edu)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Matei Zaharia

2017 – Present

Expertise

No areas of expertise listed

Publications

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
Steven Kolawole, Keshav Santhanam, Virginia Smith, Pratiksha Thaker
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Extracting Parallelism from Large Language Model Queries
Steven Kolawole, Keshav Santhanam, Virginia Smith, Pratiksha Thaker
- AFM 2024 Poster
- Readers: Everyone
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan A, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
- R0-FoMo Poster
- Readers: Everyone
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan A, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
- ICLR 2024 spotlight
- Readers: Everyone
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md Arafat Sultan, Christopher Potts
- EMNLP 2023 Main
- Readers: Everyone
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
- NeurIPS 2023 poster
- Readers: Everyone
Holistic Evaluation of Language Models
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 Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman et al. (30 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew W Fitzgibbon, Tim Harris
- 2021 (modified: 16 Jun 2021)
- EuroMLSys@EuroSys 2021
- Readers: Everyone
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia
- 2021 (modified: 18 Jan 2022)
- CoRR 2021
- Readers: Everyone
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia
- 2021 (modified: 18 Jan 2022)
- CoRR 2021
- Readers: Everyone

View all 13 publications

Co-Authors

View all 80 co-authors