Shreya Shankar
Assistant Professor
Builds data systems and interfaces for LLM-powered data processing pipelines.
Shreya Shankar's lab at CMU works on efficient training & inference, data management & big data and interfaces & interaction techniques. 22 papers since 2023, 13 at top venues, mostly VLDB and UIST. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 8 papers2025 · T1 6
- 7 papers2024 · T1 2
- 2 papers2023 · T1 1
T1 venuesOtherVenues: VLDB, UIST, SIGMOD, CHI, CIKM
Research focuspaper titles that use each topic's words
- Data management & big data11 papers
- pipelines4 papers
- data systems2 papers
- Efficient training & inference1 paper
- Interfaces & interaction techniques0 papers
Paper list
From DBLP.
20265 papers
- VLDB (T1)Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees (opens in a new tab)
- VLDB (T1)Multi-Objective Agentic Rewrites for Unstructured Data Processing (opens in a new tab)
- CHI (T1)RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines (opens in a new tab)
- CIDRSupporting Our AI Overlords: Redesigning Data Systems to be Agent-First (opens in a new tab)
- SIGMOD (T1)Task Cascades for Efficient Unstructured Data Processing (opens in a new tab)
20258 papers
- SIGMOD (T1)Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees (opens in a new tab)
- VLDB (T1)DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing (opens in a new tab)
- IEEE Data Eng. Bull.LLM-Powered Proactive Data Systems (opens in a new tab)
- SIGMOD Conference CompanionNinth Workshop on Data Management for End-to-End Machine Learning (DEEM) (opens in a new tab)
- NAACL (T1)PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines (opens in a new tab)
- ICDE (T1)Querying Templatized Document Collections with Large Language Models (opens in a new tab)
- UIST (T1)Rethinking Dataset Discovery with DataScout (opens in a new tab)
- UIST (T1)Steering Semantic Data Processing With DocWrangler (opens in a new tab)
20247 papers
- Proc. ACM Hum. Comput. Interact."We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning (opens in a new tab)
- SIGMOD Conference CompanionBuilding Reactive Large Language Model Pipelines with Motion (opens in a new tab)
- SIGMOD Conference CompanionEighth Workshop on Data Management for End-to-End Machine Learning (DEEM) (opens in a new tab)
- HILDA@SIGMODIt Took Longer than I was Expecting: Why is Dataset Search Still so Hard? (opens in a new tab)
- CIDRRevisiting Prompt Engineering via Declarative Crowdsourcing (opens in a new tab)
- VLDB (T1)SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines (opens in a new tab)
- UIST (T1)Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences (opens in a new tab)
20232 papers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
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