| Freebase: a collaboratively created graph database for structuring human knowledge K Bollacker, C Evans, P Paritosh, T Sturge, J Taylor Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 6730 | 2008 |
| “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI N Sambasivan, S Kapania, H Highfill, D Akrong, P Paritosh, LM Aroyo proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 825 | 2021 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 126 | 2024 |
| Characterizing online discussion using coarse discourse sequences A Zhang, B Culbertson, P Paritosh proceedings of the international AAAI conference on web and social media 11 …, 2017 | 121 | 2017 |
| And now for something completely different: Improving crowdsourcing workflows with micro-diversions P Dai, JM Rzeszotarski, P Paritosh, EH Chi Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015 | 113 | 2015 |
| The anatomy of a large-scale human computation engine S Kochhar, S Mazzocchi, P Paritosh Proceedings of the acm sigkdd workshop on human computation, 10-17, 2010 | 93 | 2010 |
| Managing crowdsourced human computation: a tutorial PG Ipeirotis, PK Paritosh Proceedings of the 20th international conference companion on World wide web …, 2011 | 91 | 2011 |
| A framework for on-line trend extraction and fault diagnosis MR Maurya, PK Paritosh, R Rengaswamy, V Venkatasubramanian Engineering Applications of Artificial Intelligence 23 (6), 950-960, 2010 | 88 | 2010 |
| Inserting micro-breaks into crowdsourcing workflows J Rzeszotarski, E Chi, P Paritosh, P Dai Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 76 | 2013 |
| Data excellence for AI: why should you care? L Aroyo, M Lease, P Paritosh, M Schaekermann Interactions 29 (2), 66-69, 2022 | 47 | 2022 |
| Human Computation Must Be Reproducible. PK Paritosh CrowdSearch, 20-25, 2012 | 36 | 2012 |
| Metrology for AI: From benchmarks to instruments C Welty, P Paritosh, L Aroyo arXiv preprint arXiv:1911.01875, 2019 | 30 | 2019 |
| Cross-replication Reliability--An Empirical Approach to Interpreting Inter-rater Reliability K Wong, P Paritosh, L Aroyo arXiv preprint arXiv:2106.07393, 2021 | 28 | 2021 |
| Scaling semantic frame annotation N Chang, P Paritosh, D Huynh, CF Baker Proceedings of The 9th Linguistic Annotation Workshop, 1-10, 2015 | 25 | 2015 |
| The heuristic reasoning manifesto PK Paritosh Proceedings of the 20th International Workshop on Qualitative Reasoning, 2006 | 24 | 2006 |
| Cognitive processes in quantitative estimation: Analogical anchors and causal adjustment PK Paritosh, ME Klenk Proceedings of the 28th Annual Conference of the Cognitive Science Society …, 2006 | 23 | 2006 |
| Analysis of strategic knowledge in back of the envelope reasoning PK Paritosh, KD Forbus Proceedings of the National Conference on Artificial Intelligence 20 (2), 651, 2005 | 23 | 2005 |
| Crowdsourcing human annotation on web page structure: Infrastructure design and behavior-based quality control S Han, P Dai, P Paritosh, D Huynh ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-25, 2016 | 22 | 2016 |
| The computer is the new sewing machine: benefits and perils of crowdsourcing P Paritosh, P Ipeirotis, M Cooper, S Suri Proceedings of the 20th international conference companion on World wide web …, 2011 | 22 | 2011 |
| Learning Paraphrase Identification with Structural Alignment. C Liang, PK Paritosh, V Rajendran, KD Forbus IJCAI, 2859-2865, 2016 | 21 | 2016 |
