Shubham Agarwal

According to our database, Shubham Agarwal authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

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