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Farhad Moghimifar
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Neural-symbolic commonsense reasoner with relation predictors
F Moghimifar, L Qu, Y Zhuo, G Haffari, M Baktashmotlagh
arXiv preprint arXiv:2105.06717, 2021
132021
Domain adaptative causality encoder
F Moghimifar, G Haffari, M Baktashmotlagh
arXiv preprint arXiv:2011.13549, 2020
112020
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
92020
Learning Causal Bayesian Networks from Text
F Moghimifar, A Rahimi, M Baktashmotlagh, X Li
arXiv preprint arXiv:2011.13115, 2020
52020
Predicting tls performance from key exchange performance: short paper
F Moghimifar, D Stebila
Proceedings of the Australasian Computer Science Week Multiconference, 1-4, 2016
32016
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
22023
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
22023
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
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Articles 1–10