Shreya Shankar

48 papers A* 7A 4Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents. CoRR Ruiying Ma, Shreya Shankar, Ruiqi Chen, Yiming Lin, Sepanta Zeighami, Rajoshi Ghosh, Abhinav Gupta, Anushrut Gupta, Tanmai Gopal, Aditya G. Parameswaran
2026	A*	`conf`	RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines. CHI Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2026	A	`conf`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CIDR 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
2026	J	`jnl`	Task Cascades for Efficient Unstructured Data Processing. CoRR Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. Proc. ACM Manag. Data Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. Proc. VLDB Endow. Shreya Shankar, Tristan Chambers, Tarak Shah, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. CoRR Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. IEEE Data Eng. Bull. Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Multi-Objective Agentic Rewrites for Unstructured Data Processing. CoRR Lindsey Linxi Wei, Shreya Shankar, Sepanta Zeighami, Yeounoh Chung, Fatma Özcan, Aditya G. Parameswaran
2025	—	`conf`	Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion Stefan Grafberger, Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
2025	—	`conf`	PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines. NAACL (Long Papers) Reya Vir, Shreya Shankar, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran
2025	J	`jnl`	PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines. CoRR Reya Vir, Shreya Shankar, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran
2025	A*	`conf`	Querying Templatized Document Collections with Large Language Models. ICDE Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines. CoRR Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	A*	`conf`	Rethinking Dataset Discovery with DataScout. UIST Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025	J	`jnl`	Rethinking Dataset Discovery with DataScout. CoRR Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025	A*	`conf`	Steering Semantic Data Processing With DocWrangler. UIST Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Bjoern Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Steering Semantic Data Processing With DocWrangler. CoRR Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Björn Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CoRR 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 E. Gonzalez, Aditya G. Parameswaran
2024	J	`jnl`	"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. CoRR Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2024	J	`jnl`	"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2024	—	`conf`	Building Reactive Large Language Model Pipelines with Motion. SIGMOD Conference Companion Shreya Shankar, Aditya G. Parameswaran
2024	J	`jnl`	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. CoRR Shreya Shankar, Aditya G. Parameswaran, Eugene Wu
2024	—	`conf`	Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
2024	—	`conf`	It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran
2024	A	`conf`	Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
2024	J	`jnl`	SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024	J	`jnl`	SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow. Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024	J	`jnl`	Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2024	A*	`conf`	Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. UIST Shreya Shankar, J. D. Zamfirescu-Pereira, Bjoern Hartmann, Aditya G. Parameswaran, Ian Arawjo
2024	J	`jnl`	Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. CoRR Shreya Shankar, J. D. Zamfirescu-Pereira, Björn Hartmann, Aditya G. Parameswaran, Ian Arawjo
2023	A	`conf`	Automatic and Precise Data Validation for Machine Learning. CIKM Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
2023	J	`jnl`	Moving Fast With Broken Data. CoRR Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
2023	J	`jnl`	Revisiting Prompt Engineering via Declarative Crowdsourcing. CoRR Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
2023	—	`conf`	Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
2022	J	`jnl`	Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran
2022	J	`jnl`	Operationalizing Machine Learning: An Interview Study. CoRR Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2022	J	`jnl`	Rethinking Streaming Machine Learning Evaluation. CoRR Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
2022	A	`conf`	Towards Observability for Machine Learning Pipelines. CIDR Shreya Shankar, Aditya G. Parameswaran
2022	J	`jnl`	Towards Observability for Production Machine Learning Pipelines [Vision]. Proc. VLDB Endow. Shreya Shankar, Aditya G. Parameswaran
2021	J	`jnl`	Towards Observability for Machine Learning Pipelines. CoRR Shreya Shankar, Aditya G. Parameswaran
2020	A*	`conf`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	J	`jnl`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	J	`jnl`	Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics. CoRR Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar
2018	A*	`conf`	Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. NeurIPS Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
2018	J	`jnl`	Adversarial Examples that Fool both Human and Computer Vision. CoRR Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein