Publications

M. A. Tajari∗, S. Rajaee∗, M. T. Pilehvar. An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning. EMNLP 2022. ([Pdf]

S. Rajaee, Y. Yaghoobzadeh, M. T. Pilehvar. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference. EMNLP 2022. ([Pdf], [Repo])

H. Mehrafarin∗, S. Rajaee∗, M. T. Pilehvar. On the Importance of Data Size in Probing Fine-tuned Models. Findings of ACL 2022.([Pdf], [Repo])

S. Rajaee, M. T. Pilehvar. An Isotropy Analysis in the Multilingual BERT Embedding Space. Findings of ACL 2022.([Pdf], [Slides], [Poseter], [Repo])

S. Rajaee, M. T. Pilehvar. How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. Findings of EMNLP 2021.([Pdf], [Slides])

S. Rajaee, M. T. Pilehvar. A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. ACL 2021.([Pdf], [Slides], [Repo])

Z. Rashidi, V. Hakami, P. Geranmayeh, S. Rajaee. A Multi-Agent Learning Approach to Content Placement in Cache-Enabled Small Cell Networks with Incomplete Information. Neural Computing and Applications 2022. ([Pdf])

∗ Denotes equal contribution.