Neural-symbolic commonsense reasoner with relation predictors F Moghimifar, L Qu, Y Zhuo, G Haffari, M Baktashmotlagh arXiv preprint arXiv:2105.06717, 2021 | 13 | 2021 |
Domain adaptative causality encoder F Moghimifar, G Haffari, M Baktashmotlagh arXiv preprint arXiv:2011.13549, 2020 | 11 | 2020 |
Cosmo: Conditional seq2seq-based mixture model for zero-shot commonsense question answering F Moghimifar, L Qu, Y Zhuo, M Baktashmotlagh, G Haffari arXiv preprint arXiv:2011.00777, 2020 | 9 | 2020 |
Learning Causal Bayesian Networks from Text F Moghimifar, A Rahimi, M Baktashmotlagh, X Li arXiv preprint arXiv:2011.13115, 2020 | 5 | 2020 |
Predicting tls performance from key exchange performance: short paper F Moghimifar, D Stebila Proceedings of the Australasian Computer Science Week Multiconference, 1-4, 2016 | 3 | 2016 |
Few-shot Domain-Adaptative Visually-fused Event Detection from Text F Moghimifar, F Shiri, R Haffari, YF Li, V Nguyen 2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023 | 2 | 2023 |
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery F Moghimifar, S Qu, T Wu, YF Li, G Haffari arXiv preprint arXiv:2305.16598, 2023 | 2 | 2023 |
Modelling Political Coalition Negotiations Using LLM-based Agents F Moghimifar, YF Li, R Thomson, G Haffari arXiv preprint arXiv:2402.11712, 2024 | | 2024 |
Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data F Moghimifar, F Shiri, V Nguyen, YF Li, G Haffari | | 2023 |
On encoding causality for natural language understanding F Moghimifar | | 2022 |