| 2026 | SIGMOD | Cortex AISQL: A Production SQL Engine for Unstructured Data. | Pawel Liskowski, Benjamin Han, Paritosh Aggarwal, Bowei Chen, Boxin Jiang, Nitish Jindal, Zihan Li, Aaron Lin, Kyle Schmaus, Jay Tayade, Weicheng Zhao, Anupam Datta, Nathan Wiegand, Dimitris Tsirogiannis |
| 2025 | ACL | Arctic-TILT. Business Document Understanding at Sub-Billion Scale. | Lukasz Borchmann, Michal Pietruszka, Wojciech Jaskowski, Dawid Jurkiewicz, Piotr Halama, Pawel Jziak, Lukasz Garncarek, Pawel Liskowski, Karolina Szyndler, Andrzej Gretkowski, Julita Oltusek, Gabriela Nowakowska, Artur Zawlocki, Lukasz Duhr, Pawel Dyda, Michal Turski |
| 2020 | GECCO | Program synthesis as latent continuous optimization: evolutionary search in neural embeddings. | Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, Jerry Swan |
| 2020 | PPSN | Neuromemetic Evolutionary Optimization. | Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu |
| 2020 | PPSN | ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. | Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava |
| 2018 | GECCO | Neuro-guided genetic programming: prioritizing evolutionary search with neural networks. | Pawel Liskowski, Iwo Bladek, Krzysztof Krawiec |
| 2018 | GECCO | Neural estimation of interaction outcomes. | Pawel Liskowski, Bartosz Wieloch, Krzysztof Krawiec |
| 2017 | GECCO | Accelerating coevolution with adaptive matrix factorization. | Pawel Liskowski, Wojciech Jaskowski |
| 2017 | GECCO | Discovery of search objectives in continuous domains. | Pawel Liskowski, Krzysztof Krawiec |
| 2016 | EUROGP | Surrogate Fitness via Factorization of Interaction Matrix. | Pawel Liskowski, Krzysztof Krawiec |
| 2016 | GECCO | Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. | Pawel Liskowski, Krzysztof Krawiec |
| 2016 | GECCO | Online Discovery of Search Objectives for Test-based Problems. | Pawel Liskowski, Krzysztof Krawiec |
| 2015 | EUROGP | Automatic Derivation of Search Objectives for Test-Based Genetic Programming. | Krzysztof Krawiec, Pawel Liskowski |
| 2015 | GECCO | High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-Tetris. | Wojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski, Krzysztof Krawiec |
| 2015 | GECCO | Comparison of Semantic-aware Selection Methods in Genetic Programming. | Pawel Liskowski, Krzysztof Krawiec, Thomas Helmuth, Lee Spector |
| 2014 | PPSN | Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based Problems. | Pawel Liskowski, Krzysztof Krawiec |
| 2013 | GECCO | Improving coevolution by random sampling. | Wojciech Jaskowski, Pawel Liskowski, Marcin Grzegorz Szubert, Krzysztof Krawiec |
| 2013 | GECCO | Quantitative analysis of the hall of fame coevolutionary archives. | Pawel Liskowski |
| 2013 | GECCO | Shaping fitness function for evolutionary learning of game strategies. | Marcin Grzegorz Szubert, Wojciech Jaskowski, Pawel Liskowski, Krzysztof Krawiec |