Aditya Parameswaran

Aditya Parameswaran

University of California, Berkeley

H-index: 45

North America-United States

About Aditya Parameswaran

Aditya Parameswaran, With an exceptional h-index of 45 and a recent h-index of 34 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Data Management, Data Exploration, Visualization, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

SPADE: Synthesizing Assertions for Large Language Model Pipelines

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

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

Holistic Optimization For Accelerating Iterative Machine Learning

Automatic and Precise Data Validation for Machine Learning

Efficient and Compact Spreadsheet Formula Graphs

Revisiting prompt engineering via declarative crowdsourcing

Moving Fast With Broken Data

Aditya Parameswaran Information

University

Position

Assistant Professor

Citations(all)

6313

Citations(since 2020)

3383

Cited By

4277

hIndex(all)

45

hIndex(since 2020)

34

i10Index(all)

89

i10Index(since 2020)

74

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Aditya Parameswaran Skills & Research Interests

Data Management

Data Exploration

Visualization

Data Science

Top articles of Aditya Parameswaran

Title

Journal

Author(s)

Publication Date

SPADE: Synthesizing Assertions for Large Language Model Pipelines

arXiv preprint arXiv:2401.03038

Shreya Shankar

Haotian Li

Parth Asawa

Madelon Hulsebos

Yiming Lin

...

2024/1/5

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

Proceedings of the ACM on Human-Computer Interaction

Shreya Shankar

Rolando Garcia

Joseph M Hellerstein

Aditya G Parameswaran

2024/4/23

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

arXiv preprint arXiv:2404.12272

Shreya Shankar

JD Zamfirescu-Pereira

Björn Hartmann

Aditya G Parameswaran

Ian Arawjo

2024/4/18

Holistic Optimization For Accelerating Iterative Machine Learning

2023/4/4

Automatic and Precise Data Validation for Machine Learning

Shreya Shankar

Labib Fawaz

Karl Gyllstrom

Aditya Parameswaran

2023/10/21

Efficient and Compact Spreadsheet Formula Graphs

Dixin Tang

Fanchao Chen

Christopher De Leon

Tana Wattanawaroon

Jeaseok Yun

...

2023/4/3

Revisiting prompt engineering via declarative crowdsourcing

arXiv preprint arXiv:2308.03854

Aditya G Parameswaran

Shreya Shankar

Parth Asawa

Naman Jain

Yujie Wang

2023/8/7

Moving Fast With Broken Data

arXiv preprint arXiv:2303.06094

Shreya Shankar

Labib Fawaz

Karl Gyllstrom

Aditya G Parameswaran

2023/3/10

Visualizing Spreadsheet Formula Graphs Compactly

Proceedings of the VLDB Endowment

Fanchao Chen

Dixin Tang

Haotian Li

Aditya G Parameswaran

2023/8/1

Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces

Proceedings of the VLDB Endowment

Dixin Tang

Alan Fekete

Indranil Gupta

Aditya G Parameswaran

2023/2/1

Smash: A Dictionary-Free String Distance Metric that Considers Acronyms, Abbreviations, and Typos

Joshua Wu

Aditya Parameswaran

2023/5/12

Efficient Visualization Recommendation under Updates

Todd Yu

Aditya Parameswaran

2023/5/11

Rethinking streaming machine learning evaluation

arXiv preprint arXiv:2205.11473

Shreya Shankar

Bernease Herman

Aditya G Parameswaran

2022/5/23

Operationalizing machine learning: An interview study

arXiv preprint arXiv:2209.09125

Shreya Shankar

Rolando Garcia

Joseph M Hellerstein

Aditya G Parameswaran

2022/9/16

A Case Study on COVID-19 Intervention Visualizations: The Role of Trust, Beliefs, and Interpretations

Priyam Mohanty

Aditya Parameswaran

Niloufar Salehi

2022/5/14

Bolt-on, compact, and rapid program slicing for notebooks

Proceedings of the VLDB Endowment

Shreya Shankar

Stephen Macke

Sarah Chasins

Andrew Head

Aditya Parameswaran

2022/9/1

The sky above the clouds

arXiv preprint arXiv:2205.07147

Sarah Chasins

Alvin Cheung

Natacha Crooks

Ali Ghodsi

Ken Goldberg

...

2022/5/14

Expressive querying for accelerating visual analytics

Communications of the ACM

Tarique Siddiqui

Paul Luh

Zesheng Wang

Karrie Karahalios

Aditya G Parameswaran

2022/6/21

TOWARD EFFICIENT SPREADSHEET COMPUTATION AND VISUALIZATION

Christopher De Leon

Aditya Parameswaran

2022/5/11

Piloting Data Engineering at Berkeley

Joseph M Hellerstein

Aditya G Parameswaran

2022/6/12

See List of Professors in Aditya Parameswaran University(University of California, Berkeley)

Co-Authors

H-index: 144
hector garcia-molina

hector garcia-molina

Stanford University

H-index: 112
Samuel Madden

Samuel Madden

Massachusetts Institute of Technology

H-index: 103
Jennifer Widom

Jennifer Widom

Stanford University

H-index: 47
Karrie Karahalios

Karrie Karahalios

University of Illinois at Urbana-Champaign

H-index: 28
Aaron J Elmore

Aaron J Elmore

University of Chicago

H-index: 18
Manas Joglekar

Manas Joglekar

Stanford University

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