| 2026 | CHI | RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines. | Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran |
| 2026 | CIDR | Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. | Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran |
| 2025 | ICDE | Querying Templatized Document Collections with Large Language Models. | Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu |
| 2025 | ICLR | NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. | Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran |
| 2024 | ICDE | A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract). | Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi |
| 2024 | ICLR | Towards Establishing Guaranteed Error for Learned Database Operations. | Sepanta Zeighami, Cyrus Shahabi |
| 2024 | ICML | Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. | Sepanta Zeighami, Cyrus Shahabi |
| 2024 | MDM | BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data. | Sepanta Zeighami, Cyrus Shahabi |
| 2023 | ICML | On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing. | Sepanta Zeighami, Cyrus Shahabi |
| 2021 | ICDE | Secure Dynamic Skyline Queries Using Result Materialization. | Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi |
| 2019 | ICDE | Finding Average Regret Ratio Minimizing Set in Database. | Sepanta Zeighami, Raymond Chi-Wing Wong |
| 2016 | SIGMOD | Minimizing Average Regret Ratio in Database. | Sepanta Zeighami, Raymond Chi-Wing Wong |