| 2026 | AAAI | Complex Reasoning over Vision and Language -Leveraging Neurosymbolic AI. | Parisa Kordjamshidi |
| 2026 | ACL | Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents. | Tianyi Ma, Yue Zhang, Zehao Wang, Parisa Kordjamshidi |
| 2025 | AAAI | NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization. | Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi |
| 2025 | AAAI | Reasoning over Uncertain Text by Generative Large Language Models. | Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi |
| 2025 | EMNLP | FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks. | Tanawan Premsri, Parisa Kordjamshidi |
| 2025 | EMNLP | Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs. | Yue Zhang, Tianyi Ma, Zun Wang, Yanyuan Qiao, Parisa Kordjamshidi |
| 2025 | ICLR | SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model. | Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang |
| 2025 | ICLR | Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities. | Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma |
| 2025 | IJCNLP | Don't Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning. | Luan Thanh Nguyen, Parisa Kordjamshidi |
| 2025 | IJCNLP | Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models. | Akshar Tumu, Varad Shinde, Parisa Kordjamshidi |
| 2025 | NAACL | Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models. | Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi |
| 2025 | NAACL | Neuro-symbolic Training for Reasoning over Spatial Language. | Tanawan Premsri, Parisa Kordjamshidi |
| 2025 | NeSy | Toward a Clearer Characterization of Neuro-Symbolic Frameworks: A Brief Comparative Analysis. | Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi |
| 2024 | COLING | Using Persuasive Writing Strategies to Explain and Detect Health Misinformation. | Danial Kamali, Joseph D. Romain, Huiyi Liu, Wei Peng, Jingbo Meng, Parisa Kordjamshidi |
| 2024 | EACL | Consistent Joint Decision-Making with Heterogeneous Learning Models. | Hossein Rajaby Faghihi, Parisa Kordjamshidi |
| 2024 | EACL | Teaching Probabilistic Logical Reasoning to Transformers. | Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi |
| 2024 | EACL | NavHint: Vision and Language Navigation Agent with a Hint Generator. | Yue Zhang, Quan Guo, Parisa Kordjamshidi |
| 2024 | ECCV | SHINE: Saliency-Aware Hierarchical Negative Ranking for Compositional Temporal Grounding. | Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong |
| 2024 | NeSy | Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. | Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi |
| 2024 | WACV | GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning. | Guangyue Xu, Joyce Chai, Parisa Kordjamshidi |
| 2023 | AAAI | GLUECons: A Generic Benchmark for Learning under Constraints. | Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi |
| 2023 | ACL | VLN-Trans: Translator for the Vision and Language Navigation Agent. | Yue Zhang, Parisa Kordjamshidi |
| 2023 | EACL | The Role of Semantic Parsing in Understanding Procedural Text. | Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng, James F. Allen |
| 2023 | EMNLP | Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning. | Roshanak Mirzaee, Parisa Kordjamshidi |
| 2023 | EMNLP | MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition. | Guangyue Xu, Parisa Kordjamshidi, Joyce Chai |
| 2023 | IJCAI | Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding. | Parisa Kordjamshidi |
| 2023 | IJCAI | Dual-Phase Models for Extracting Information and Symbolic Reasoning: A Case-Study in Spatial Reasoning. | Roshanak Mirzaee, Parisa Kordjamshidi |
| 2022 | AAAI | PYLON: A PyTorch Framework for Learning with Constraints. | Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | ACL | Explicit Object Relation Alignment for Vision and Language Navigation. | Yue Zhang, Parisa Kordjamshidi |
| 2022 | ACL | Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning. | Chen Zheng, Parisa Kordjamshidi |
| 2022 | COLING | LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. | Yue Zhang, Parisa Kordjamshidi |
| 2022 | COLING | Dynamic Relevance Graph Network for Knowledge-Aware Question Answering. | Chen Zheng, Parisa Kordjamshidi |
| 2022 | EMNLP | Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning. | Roshanak Mirzaee, Parisa Kordjamshidi |
| 2021 | EMNLP | DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. | Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Parisa Kordjamshidi |
| 2021 | IJCAI | Relational Gating for "What If" Reasoning. | Chen Zheng, Parisa Kordjamshidi |
| 2021 | NAACL | Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events. | Hossein Rajaby Faghihi, Parisa Kordjamshidi |
| 2021 | NAACL | SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning. | Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, Parisa Kordjamshidi |
| 2020 | ACL | Cross-Modality Relevance for Reasoning on Language and Vision. | Chen Zheng, Quan Guo, Parisa Kordjamshidi |
| 2020 | EMNLP | Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks. | Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens |
| 2020 | EMNLP | SRLGRN: Semantic Role Labeling Graph Reasoning Network. | Chen Zheng, Parisa Kordjamshidi |
| 2020 | IJCAI | Inference-Masked Loss for Deep Structured Output Learning. | Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi |
| 2020 | LREC | From Spatial Relations to Spatial Configurations. | Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth |
| 2018 | ICMLA | Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario. | Benyamin Ahmadnia, Parisa Kordjamshidi, Gholamreza Haffari |
| 2018 | IJCAI | Systems AI: A Declarative Learning Based Programming Perspective. | Parisa Kordjamshidi, Dan Roth, Kristian Kersting |
| 2018 | NAACL | Visually Guided Spatial Relation Extraction from Text. | Taher Rahgooy, Umar Manzoor, Parisa Kordjamshidi |
| 2017 | EMNLP | Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming. | Parisa Kordjamshidi, Taher Rahgooy, Umar Manzoor |
| 2016 | COLING | Better call Saul: Flexible Programming for Learning and Inference in NLP. | Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth |
| 2016 | LREC | EDISON: Feature Extraction for NLP, Simplified. | Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth |
| 2015 | CoNLL | Improving a Pipeline Architecture for Shallow Discourse Parsing. | Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth |
| 2015 | IJCAI | Saul: Towards Declarative Learning Based Programming. | Parisa Kordjamshidi, Dan Roth, Hao Wu |
| 2014 | LREC | HiEve: A Corpus for Extracting Event Hierarchies from News Stories. | Goran Glavas, Jan Snajder, Marie-Francine Moens, Parisa Kordjamshidi |
| 2011 | ILP | Relational Learning for Spatial Relation Extraction from Natural Language. | Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt |
| 2010 | LREC | Spatial Role Labeling: Task Definition and Annotation Scheme. | Parisa Kordjamshidi, Martijn van Otterlo, Marie-Francine Moens |