Shreya Shankar

According to our database, Shreya Shankar authored at least 29 papers between 2018 and 2025.

Collaborative distances:

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

2025

Rethinking Dataset Discovery with DataScout.

Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran

CoRR, July, 2025

Steering Semantic Data Processing With DocWrangler.

Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Björn Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu

CoRR, April, 2025

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines.

Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran

CoRR, April, 2025

LLM-Powered Proactive Data Systems.

Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran

IEEE Data Eng. Bull., 2025

Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM).

Stefan Grafberger, Madelon Hulsebos, Matteo Interlandi, Shreya Shankar

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines.

Reya Vir, Shreya Shankar, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Querying Templatized Document Collections with Large Language Models.

Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines.

Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu

Proc. VLDB Endow., August, 2024

"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.

Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran

Proc. ACM Hum. Comput. Interact., 2024

DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing.

Shreya Shankar, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

Towards Accurate and Efficient Document Analytics with Large Language Models.

Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

SPADE: Synthesizing Assertions for Large Language Model Pipelines.

Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences.

Shreya Shankar, J. D. Zamfirescu-Pereira, Bjoern Hartmann, Aditya G. Parameswaran, Ian Arawjo

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Building Reactive Large Language Model Pipelines with Motion.

Shreya Shankar, Aditya G. Parameswaran

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM).

Madelon Hulsebos, Matteo Interlandi, Shreya Shankar

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

It Took Longer than I was Expecting: Why is Dataset Search Still so Hard?

Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran

Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 2024

Revisiting Prompt Engineering via Declarative Crowdsourcing.

Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Moving Fast With Broken Data.

Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran

CoRR, 2023

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM).

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

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

Automatic and Precise Data Validation for Machine Learning.

Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Observability for Production Machine Learning Pipelines [Vision].

Shreya Shankar, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science].

Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

Operationalizing Machine Learning: An Interview Study.

Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran

CoRR, 2022

Rethinking Streaming Machine Learning Evaluation.

Shreya Shankar, Bernease Herman, Aditya G. Parameswaran

CoRR, 2022

Towards Observability for Machine Learning Pipelines.

Shreya Shankar, Aditya G. Parameswaran

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2020

Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics.

Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar

CoRR, 2020

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.

Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Adversarial Examples that Fool both Human and Computer Vision.

Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein

CoRR, 2018

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018