ROLA: A New Distributed Transaction Protocol and Its Formal Analysis. - Si Liu 003; Peter Csaba Ölveczky; Keshav Santhanam; Qi Wang 017; Indranil Gupta; José Meseguer 001 (FASE, 2018)

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. - Deepak Narayanan; Keshav Santhanam; Fiodar Kazhamiaka; Amar Phanishayee; Matei Zaharia (OSDI, 2020)

DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks. - Keshav Santhanam; Siddharth Krishna 001; Ryota Tomioka; Andrew W. Fitzgibbon; Tim Harris 001 (EuroMLSys@EuroSys, 2021)

DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution. - Keshav Santhanam; Siddharth Krishna 001; Ryota Tomioka; Tim Harris 001; Matei Zaharia (CoRR, 2021)

PLAID: An Efficient Engine for Late Interaction Retrieval. - Keshav Santhanam; Omar Khattab; Christopher Potts; Matei Zaharia (CIKM, 2022)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. - Keshav Santhanam; Omar Khattab; Jon Saad-Falcon; Christopher Potts; Matei Zaharia (NAACL-HLT, 2022)

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. - Omar Khattab; Keshav Santhanam; Xiang Lisa Li; David Hall 006; Percy Liang; Christopher Potts; Matei Zaharia (CoRR, 2022)

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Keshav Santhanam; Jon Saad-Falcon; Martin Franz; Omar Khattab; Avi Sil; Radu Florian; Md. Arafat Sultan; Salim Roukos; Matei Zaharia; Christopher Potts (ACL (Findings), 2023)

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)

Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models. - Deepak Narayanan; Keshav Santhanam; Peter Henderson 002; Rishi Bommasani; Tony Lee; Percy Liang (NeurIPS, 2023)

Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs. - Deepak Narayanan; Keshav Santhanam; Peter Henderson 002; Rishi Bommasani; Tony Lee; Percy Liang (CoRR, 2023)

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines. - 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; et al. (CoRR, 2023)

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; et al. (Trans. Mach. Learn. Res., 2023)

ALTO: An Efficient Network Orchestrator for Compound AI Systems. - Keshav Santhanam; Deepti Raghavan; Muhammad Shahir Rahman; Thejas Venkatesh; Neha Kunjal; Pratiksha Thaker; Philip Alexander Levis; Matei Zaharia (EuroMLSys@EuroSys, 2024)

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. - 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; et al. (ICLR, 2024)

ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. - Kaili Huang; Thejas Venkatesh; Uma Dingankar; Antonio Mallia; Daniel Campos; Jian Jiao; Christopher Potts; Matei Zaharia; Kwabena Boahen 001; Omar Khattab; Saarthak Sarup; Keshav Santhanam (ECIR (4), 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries. - Steven Kolawole; Keshav Santhanam; Virginia Smith; Pratiksha Thaker (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)