| CrowdGrader: A tool for crowdsourcing the evaluation of homework assignments L De Alfaro, M Shavlovsky Proceedings of the 45th ACM technical symposium on Computer science …, 2014 | 152 | 2014 |
| Software verification games: Designing Xylem, The Code of Plants. H Logas, J Whitehead, M Mateas, R Vallejos, L Scott, DG Shapiro, ... FDG, 2014 | 35 | 2014 |
| Crowdgrader: Crowdsourcing the evaluation of homework assignments L de Alfaro, M Shavlovsky arXiv preprint arXiv:1308.5273, 2013 | 27 | 2013 |
| Incentives for truthful peer grading L De Alfaro, M Shavlovsky, V Polychronopoulos arXiv preprint arXiv:1604.03178, 2016 | 25 | 2016 |
| Reliable aggregation of boolean crowdsourced tasks L De Alfaro, V Polychronopoulos, M Shavlovsky Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015 | 24 | 2015 |
| Dynamics of peer grading: An empirical study L De Alfaro, M Shavlovsky | 17 | 2016 |
| Attributing authorship of revisioned content L De Alfaro, M Shavlovsky Proceedings of the 22nd international conference on World Wide Web, 343-354, 2013 | 8 | 2013 |
| Incentives for truthful evaluations L de Alfaro, M Faella, V Polychronopoulos, M Shavlovsky arXiv preprint arXiv:1608.07886, 2016 | 7 | 2016 |
| Accelerating sinkhorn algorithm with sparse newton iterations X Tang, M Shavlovsky, H Rahmanian, E Tardini, KK Thekumparampil, ... arXiv preprint arXiv:2401.12253, 2024 | 3 | 2024 |
| Crowdsourcing quantitative evaluation: algorithms and empirical results L de Alfaro, M Shavlovsky UC Santa Cruz, Santa Cruz, CA, USA, Tech. Rep. UCSC-SOE-14-03, 2017 | 3 | 2017 |
| Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity C Hou, KK Thekumparampil, M Shavlovsky, G Fanti, Y Dattatreya, ... arXiv preprint arXiv:2308.00177, 2023 | 2 | 2023 |
| A Sinkhorn-type Algorithm for Constrained Optimal Transport X Tang, H Rahmanian, M Shavlovsky, KK Thekumparampil, T Xiao, ... arXiv preprint arXiv:2403.05054, 2024 | 1 | 2024 |
| Xylem: The Code of Plants. H Logas, J Whitehead, M Mateas, R Vallejos, L Scott, JT Murray, ... FDG, 2014 | 1 | 2014 |
| Orbit: A Framework for Designing and Evaluating Multi-objective Rankers C Yang, T Xiao, M Shavlovsky, C Kästner, T Wu arXiv preprint arXiv:2411.04798, 2024 | | 2024 |
| HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework Y Ren, T Xiao, M Shavlovsky, L Ying, H Rahmanian arXiv preprint arXiv:2410.08316, 2024 | | 2024 |
| Reputation Systems and Incentives Schemes for Quality Control in Crowdsourcing MB Shavlovsky University of California, Santa Cruz, 2017 | | 2017 |
| HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework Y Ren, T Xiao, M Shavlovsky, L Ying, H Rahmanian NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 0 | | |
