Shubham Agarwal

According to our database, Shubham Agarwal authored at least 23 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Time is Here for Just-in-Time Systems: Challenges and Opportunities.

Shu Liu, Alexander Krentsel, Shubham Agarwal, Mert Cemri, Ziming Mao, Soujanya Ponnapalli, Alexandros G. Dimakis, Sylvia Ratnasamy, Matei Zaharia, Aditya G. Parameswaran, Ion Stoica

CoRR, May, 2026

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems.

Shubham Agarwal, Alexander Krentsel, Shu Liu, Mert Cemri, Audrey Cheng, Rui Meng, Tomas Pfister, Chun-Liang Li, Sylvia Ratnasamy, Aditya G. Parameswaran, Matei Zaharia, Ion Stoica, Mohsen Lesani

CoRR, May, 2026

EvoX: Meta-Evolution for Automated Discovery.

Shu Liu, Shubham Agarwal, Monishwaran Maheswaran, Mert Cemri, Zhifei Li, Qiuyang Mang, Ashwin Naren, Ethan Boneh, Audrey Cheng, Melissa Z. Pan, Alexander Du, Kurt Keutzer, Alexandros G. Dimakis, Koushik Sen, Matei Zaharia, Ion Stoica

CoRR, February, 2026

Arming Data Agents with Tribal Knowledge.

Shubham Agarwal, Asim Biswal, Sepanta Zeighami, Alvin Cheung, Joseph Gonzalez, Aditya G. Parameswaran

CoRR, February, 2026

FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching.

Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena, Kuldeep Kulkarni, Subrata Mitra, Manjesh Kumar Hanawal

CoRR, February, 2026

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

Proceedings of the 16th Conference on Innovative Data Systems Research, 2026

SkyDiscover: A Flexible, Adaptive Framework for AI-Driven Scientific and Algorithmic Discovery.

Shu Liu, Mert Cemri, Shubham Agarwal, Alexander Krentsel, Ashwin Naren, Qiuyang Mang, Zhifei Li, Akshat Gupta, Monishwaran Maheswaran, Audrey Cheng, Melissa Z. Pan, Ethan Boneh, Kannan Ramchandran, Koushik Sen, Matei Zaharia, Alexandros G. Dimakis, Ion Stoica

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Let the Barbarians In: How AI Can Accelerate Systems Performance Research.

Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Shubham Agarwal, Mert Cemri, Bowen Wang, Alexander Krentsel, Tian Xia, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Ashwin Naren, Shulu Li, Ruiying Ma, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica

CoRR, December, 2025

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation.

Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini

Proc. ACM Manag. Data, June, 2025

RCStat: A Statistical Framework for using Relative Contextualization in Transformers.

Debabrata Mahapatra, Shubham Agarwal, Apoorv Saxena, Subrata Mitra

CoRR, June, 2025

Prompt-Aware Scheduling for Efficient Text-to-Image Inferencing System.

Shubham Agarwal, Saud Iqbal, Subrata Mitra

CoRR, February, 2025

Root Cause Analysis of Failures from Partial Causal Structures.

Azam Ikram, Kenneth Lee, Shubham Agarwal, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System.

Shubham Agarwal, Subrata Mitra, Saud Iqbal

Proceedings of the 26th International Middleware Conference, 2025

2024

KaPQA: Knowledge-Augmented Product Question-Answering.

Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt

CoRR, 2024

LongLaMP: A Benchmark for Personalized Long-form Text Generation.

Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani

CoRR, 2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data.

Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models.

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories.

Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Approximate Caching for Efficiently Serving Diffusion Models.

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini

CoRR, 2023

CausIL: Causal Graph for Instance Level Microservice Data.

Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini

Proceedings of the ACM Web Conference 2023, 2023

Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer.

Shubham Agarwal, Sarthak Chakraborty, Shaddy Garg, Sumit Bisht, Chahat Jain, Ashritha Gonuguntla, Shiv Kumar Saini

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Fast Natural Language Based Data Exploration with Samples.

Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

ESRO: Experience Assisted Service Reliability against Outages.

Sarthak Chakraborty, Shubham Agarwal, Shaddy Garg, Abhimanyu Sethia, Udit Narayan Pandey, Videh Aggarwal, Shiv Kumar Saini

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023