Patents

Ramanathan, K., and Sadeghi, S. (Published on Jan 17, 2013). Data structure and a method for using the data structure. US20130018832.

Publications

Srivastava, A., Rastogi, A., Rao, A., ..., Sadeghi, S., ... & Wu, Z. (2022). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. arXiv preprint arXiv:2206.04615.
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Khashabi, D., Cohan, A., Shakeri, S., Hosseini, P., Pezeshkpour, P., Alikhani, M., ..., Sadeghi, S., ... & Yaghoobzadeh, Y. (2021). Parsinlu: a suite of language understanding challenges for persian. Transactions of the Association for Computational Linguistics, 9, 1163-1178.
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Khashabi, D., Cohan, A., Shakeri, S., Hosseini, P., Pezeshkpour, P., Alikhani, M., ..., Sadeghi, S., ... & Yaghoobzadeh, Y. (2020). ParsiNLU: A Suite of Language Understanding Challenges for Persian. arXiv preprint arXiv:2012.06154.
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Krenn, B., Sadeghi, S., Neubarth, F., Gross, S., Trapp, M., Scheutz, M. (2020). Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios. In Proceedings of the IEEE Transactions on Cognitive and Developmental Systems.
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Sadeghi, S., Oosterveld, B., Krause, E., Scheutz, M. (2019). Acquisition of Word-Object Associations from Human-Robot and Human-Human Dialogues. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA 2019).
PDF, Demo 1, Demo 2

Sadeghi, S., Scheutz, M. (2018). Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018).
PDF, Data

Sadeghi, S., Scheutz, M. (2018). Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). Awarded student travel scholarship.
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Sadeghi, S., Scheutz, M. (2017). Joint Acquisition of Word Order and Word Referent in a Memory-Limited and Incremental Learner. In Proceedings of the 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
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Sadeghi, S., Scheutz, M., Krause, E. (2017). An Embodied Incremental Bayesian Model of Cross-Situational Word Learning. In Proceedings of the 2017 Joint IEEE International Conference on Development and learning and Epigenetic Robotics (ICDL-EPIROB).
PDF, Demo

Scheutz, M., Krause, E., and Sadeghi, S. (2014). An Embodied Real-Time Model of Language-Guided Incremental Visual Search. In Proceedings of the 36th Annual Conference of the Cognitive Science Society.
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Sadeghi, S., Scheutz, M., Pu, H., Holcomb, P. J., and Midgley, K. J. (2013). A PDP Model for Capturing N400 Effects in Early L2 Learners during Bilingual Word Reading Tasks. In Proceedings of the 35th Annual Conference of the Cognitive Science Society.
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Sadeghi, S., and Ramanathan, K. (2011, July). A Hubel Wiesel model of early concept generalization based on local correlation of input features. In Proceedings of the 2011 IEEE International Joint Conference on Neural Networks. (pp. 709-716).
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