Concepedia

Ivan Stelmakh

IS

Statistics

Publications

9

Citations

178

H-Index

9

Active since

2018

Affiliations

Carnegie Mellon University(Current)

Microsoft (United States)

University of Maryland, College Park

New Economic School

Ivan Stelmakh is an author at Carnegie Mellon University specializing in bias, statistics, and data science.

Top concepts

BiasStatisticsEngineeringData ScienceBehavioral Decision MakingArtsText MiningComputer ScienceMachine LearningInformation Retrieval

Publications per year

2018–2023

9

Publications

9

ASQA: Factoid Questions Meet Long-Form Answers

Ivan Stelmakh, Yi Luan, Bhuwan Dhingra et al. · 2022 · 46 citations · Full text

Ambiguous Questions, Engineering, Entity Summarization +20

PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review

Ivan Stelmakh, Nihar B. Shah, Aarti Singh · arXiv (Cornell University) · 2018 · 31 citations · Full text

Artificial Intelligence, Ranking Algorithm, Conference Peer Review +19

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences

Ivan Stelmakh, Nihar B. Shah, Aarti Singh et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 19 citations · Full text

Artificial Intelligence, Conference Peer Review, Machine Learning +26

Prior and Prejudice

Ivan Stelmakh, Nihar B. Shah, Aarti Singh et al. · Proceedings of the ACM on Human-Computer Interaction · 2021 · 16 citations · Full text

Critical Race Theory, Engineering, Machine Learning +21

Cite-seeing and reviewing: A study on citation bias in peer review

Ivan Stelmakh, Charvi Rastogi, Ryan Liu et al. · PLoS ONE · 2023 · 16 citations · Full text

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