| A surprisingly robust trick for winograd schema challenge V Kocijan, AM Cretu, OM Camburu, Y Yordanov, T Lukasiewicz arXiv preprint arXiv:1905.06290, 2019 | 116 | 2019 |
| A review of winograd schema challenge datasets and approaches V Kocijan, T Lukasiewicz, E Davis, G Marcus, L Morgenstern arXiv preprint arXiv:2004.13831, 2020 | 46 | 2020 |
| The defeat of the Winograd schema challenge V Kocijan, E Davis, T Lukasiewicz, G Marcus, L Morgenstern Artificial Intelligence, 103971, 2023 | 30 | 2023 |
| WikiCREM: A large unsupervised corpus for coreference resolution V Kocijan, OM Camburu, AM Cretu, Y Yordanov, P Blunsom, ... arXiv preprint arXiv:1908.08025, 2019 | 30 | 2019 |
| Few-shot out-of-domain transfer learning of natural language explanations in a label-abundant setup Y Yordanov, V Kocijan, T Lukasiewicz, OM Camburu arXiv preprint arXiv:2112.06204, 2021 | 15 | 2021 |
| Systematic comparison of neural architectures and training approaches for open information extraction P Hohenecker, F Mtumbuka, V Kocijan, T Lukasiewicz Association for Computational Linguistics, 2020 | 15 | 2020 |
| The gap on gap: Tackling the problem of differing data distributions in bias-measuring datasets V Kocijan, OM Camburu, T Lukasiewicz Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 13180 …, 2021 | 11 | 2021 |
| Knowledge base completion meets transfer learning V Kocijan, T Lukasiewicz arXiv preprint arXiv:2108.13073, 2021 | 6 | 2021 |
| Robust Sex Differences in Jigsaw Puzzle Solving—Are Boys Really Better in Most Visuospatial Tasks? V Kocijan, M Horvat, G Majdic Frontiers in Behavioral Neuroscience 11, 194, 2017 | 5 | 2017 |
| Does the objective matter? Comparing training objectives for pronoun resolution Y Yordanov, OM Camburu, V Kocijan, T Lukasiewicz arXiv preprint arXiv:2010.02570, 2020 | 2 | 2020 |
| Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns Z Xie, V Kocijan, T Lukasiewicz, OM Camburu arXiv preprint arXiv:2302.05674, 2023 | 1 | 2023 |
| PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning W Hu, Y Yuan, Z Zhang, A Nitta, K Cao, V Kocijan, J Leskovec, M Fey arXiv preprint arXiv:2404.00776, 2024 | | 2024 |
| The Defeat of the Winograd Schema Challenge (Abstract Reprint) V Kocijan, E Davis, T Lukasiewicz, G Marcus, L Morgenstern Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22703 …, 2024 | | 2024 |
| Pre-training and diagnosing knowledge base completion models V Kocijan, M Jang, T Lukasiewicz Artificial Intelligence, 104081, 2024 | | 2024 |
| Counter− GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns OM Camburu, V Kocijan, T Lukasiewicz, Z Xie | | 2023 |
| Few− Shot Out− of− Domain Transfer Learning of Natural Language Explanations in a Label− Abundant Setup OM Camburu, V Kocijan, T Lukasiewicz, Y Yordanov | | 2022 |
| Impact of pre-training on background knowledge and societal bias V Kocijan University of Oxford, 2021 | | 2021 |
| Vložitev vozlišč omrežja v linearni prostorski zahtevnosti: diplomsko delo: interdisciplinarni univerzitetni študijski program prve stopnje Računalništvo in matematika V Kocijan V. Kocijan, 2017 | | 2017 |
