Analysis of Strategic Knowledge in Back of the Envelope Reasoning. - Praveen K. Paritosh; Kenneth D. Forbus (AAAI, 2005)

Freebase: a collaboratively created graph database for structuring human knowledge. - Kurt D. Bollacker; Colin Evans; Praveen K. Paritosh; Tim Sturge; Jamie Taylor (SIGMOD Conference, 2008)

The anatomy of a large-scale human computation engine. - Shailesh Kochhar; Stefano Mazzocchi; Praveen K. Paritosh (HCOMP@KDD, 2010)

A framework for on-line trend extraction and fault diagnosis. - Mano Ram Maurya; Praveen K. Paritosh; Raghunathan Rengaswamy; Venkat Venkatasubramanian (Eng. Appl. Artif. Intell., 2010)

Managing crowdsourced human computation: a tutorial. - Panagiotis G. Ipeirotis; Praveen K. Paritosh (WWW (Companion Volume), 2011)

The computer is the new sewing machine: benefits and perils of crowdsourcing. - Praveen K. Paritosh; Panos Ipeirotis; Matt Cooper; Siddharth Suri (WWW (Companion Volume), 2011)

Human Computation Must Be Reproducible. - Praveen K. Paritosh (CrowdSearch, 2012)

Inserting Micro-Breaks into Crowdsourcing Workflows. - Jeffrey M. Rzeszotarski; Ed H. Chi; Praveen K. Paritosh; Peng Dai 001 (HCOMP (Works in Progress / Demos), 2013)

Workshops Held at the First AAAI Conference on Human Computation and Crowdsourcing: A Report. - Tatiana Josephy; Matt Lease; Praveen K. Paritosh; Markus Krause; Mihai Georgescu; Michael Tjalve; Daniela Braga (AI Mag., 2014)

Scaling Semantic Frame Annotation. - Nancy Chang; Praveen K. Paritosh; David Huynh; Collin Baker (LAW@NAACL-HLT, 2015)

And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. - Peng Dai 001; Jeffrey M. Rzeszotarski; Praveen K. Paritosh; Ed H. Chi (CSCW, 2015)

Connecting Collaborative & Crowd Work with Online Education. - Joseph Jay Williams; Markus Krause; Praveen K. Paritosh; Jacob Whitehill; Justin Reich; Juho Kim 001; Piotr Mitros; Neil T. Heffernan; Brian C. Keegan (CSCW Companion, 2015)

Web Question Answering: Beyond Factoids: SIGIR 2015 Workshop. - Eugene Agichtein; David Carmel; Charles L. A. Clarke; Praveen K. Paritosh; Dan Pelleg; Idan Szpektor (SIGIR, 2015)

Connecting Online Work and Online Education at Scale. - Markus Krause; Margeret Hall; Joseph Jay Williams; Praveen K. Paritosh; John Prip; Simon Caton (CHI Extended Abstracts, 2016)

Learning Paraphrase Identification with Structural Alignment. - Chen Liang; Praveen K. Paritosh; Vinodh Rajendran; Kenneth D. Forbus (IJCAI, 2016)

Toward a Comprehension Challenge, Using Crowdsourcing as a Tool. - Praveen K. Paritosh; Gary Marcus 001 (AI Mag., 2016)

Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. - Shuguang Han; Peng Dai 001; Praveen K. Paritosh; David Huynh (ACM Trans. Intell. Syst. Technol., 2016)

Characterizing Online Communities Using Coarse Discourse Structures. - Amy X. Zhang; Bryan Culbertson; Praveen K. Paritosh (ICWSM, 2017)

What if the Primary Goal of the Web was to Foster Curiosity? - Praveen K. Paritosh (ISWC (P&D/Industry/BlueSky), 2018)

The Missing Science of Knowledge Curation: Improving Incentives for Large-scale Knowledge Curation. - Praveen K. Paritosh (WWW (Companion Volume), 2018)

The AI Bookie Place Your Bets: Adversarial Collaboration for Scientific Advancement. - Kurt D. Bollacker; Praveen K. Paritosh; Chris Welty (AI Mag., 2018)

Metrology for AI: From Benchmarks to Instruments. - Chris Welty; Praveen K. Paritosh; Lora Aroyo (CoRR, 2019)

The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? - Mike Schaekermann; Christopher Homan; Lora Aroyo; Praveen K. Paritosh; Kurt D. Bollacker; Chris Welty (AI Mag., 2020)

Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. - Ka Wong; Praveen K. Paritosh; Lora Aroyo (ACL/IJCNLP (1), 2021)

"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI. - Nithya Sambasivan; Shivani Kapania; Hannah Highfill; Diana Akrong; Praveen K. Paritosh; Lora Aroyo (CHI, 2021)

Betting on Bets. - Chris Welty; Praveen K. Paritosh; Kurt D. Bollacker (AI Mag., 2021)

k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations. - Ka Wong; Praveen K. Paritosh (ACL (2), 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

Data excellence for AI: why should you care? - Lora Aroyo; Matthew Lease; Praveen K. Paritosh; Mike Schaekermann (Interactions, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities. - Senjuti Dutta; Sid Mittal; Sherol Chen; Deepak Ramachandran; Ravi Rajakumar; Ian Kivlichan; Sunny Mak; Alena Butryna; Praveen K. Paritosh (CoRR, 2023)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)

A Community-driven vision for a new Knowledge Resource for AI. - Vinay K. Chaudhri; Chaitan Baru; Brandon Bennett; Mehul Bhatt; Darion Cassel; Anthony G. Cohn 001; Rina Dechter; Esra Erdem 001; David A. Ferrucci; Kenneth D. Forbus; Gregory Gelfond; Michael R. Genesereth; et al. (CoRR, 2025)