| 2026 | EACL | Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning. | Sara Rajaee, Rochelle Choenni, Ekaterina Shutova, Christof Monz |
| 2025 | ACL | Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving. | Sara Rajaee, Kumar Pratik, Gabriele Cesa, Arash Behboodi |
| 2024 | EACL | Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. | Sara Rajaee, Christof Monz |
| 2022 | ACL | On the Importance of Data Size in Probing Fine-tuned Models. | Houman Mehrafarin, Sara Rajaee, Mohammad Taher Pilehvar |
| 2022 | ACL | An Isotropy Analysis in the Multilingual BERT Embedding Space. | Sara Rajaee, Mohammad Taher Pilehvar |
| 2022 | EMNLP | An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning. | Mohammad Akbar-Tajari, Sara Rajaee, Mohammad Taher Pilehvar |
| 2022 | EMNLP | Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference. | Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar |
| 2021 | ACL | A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. | Sara Rajaee, Mohammad Taher Pilehvar |
| 2021 | EMNLP | How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. | Sara Rajaee, Mohammad Taher Pilehvar |