Farhad Moghimifar

According to our database, Farhad Moghimifar authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modelling Political Coalition Negotiations Using LLM-based Agents.

Farhad Moghimifar, Yuan-Fang Li, Robert Thomson, Gholamreza Haffari

CoRR, 2024

Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs.

Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Few-shot Domain-Adaptive Visually-fused Event Detection from Text.

Fatemeh Shiri, Farhad Moghimifar, Van Nguyen, Reza Haffari, Yuan-Fang Li

CoRR, 2023

Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data.

Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Few-shot Domain-Adaptative Visually-fused Event Detection from Text.

Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen

Proceedings of the 26th International Conference on Information Fusion, 2023

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery.

Farhad Moghimifar, Shilin Qu, Tongtong Wu, Yuan-Fang Li, Gholamreza Haffari

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On encoding causality for natural language understanding

Farhad Moghimifar

PhD thesis, 2022

2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.

Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Domain Adaptative Causality Encoder.

Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh

CoRR, 2020

Learning Causal Bayesian Networks from Text.

Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh, Xue Li

CoRR, 2020

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.

Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2016

Predicting TLS performance from key exchange performance: short paper.

Farhad Moghimifar, Douglas Stebila

Proceedings of the Australasian Computer Science Week Multiconference, 2016