Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. - Mohsen Fayyaz; Ehsan Aghazadeh; Ali Modarressi; Hosein Mohebbi; Mohammad Taher Pilehvar (BlackboxNLP@EMNLP, 2021)

Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages. - Ehsan Aghazadeh; Mohsen Fayyaz; Yadollah Yaghoobzadeh (ACL (1), 2022)

BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. - Mohsen Fayyaz; Ehsan Aghazadeh; Ali Modarressi; Mohammad Taher Pilehvar; Yadollah Yaghoobzadeh; Samira Ebrahimi Kahou (CoRR, 2022)

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition. - Ali Modarressi; Mohsen Fayyaz; Ehsan Aghazadeh; Yadollah Yaghoobzadeh; Mohammad Taher Pilehvar (ACL (1), 2023)

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. - Hitesh Wadhwa; Rahul Seetharaman; Somyaa Aggarwal; Reshmi Ghosh; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Reshmi Ghosh; Rahul Seetharaman; Hitesh Wadhwa; Somyaa Aggarwal; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models. - Liqiang Jing; Guiming Hardy Chen; Ehsan Aghazadeh; Xin Eric Wang; Xinya Du (CoRR, 2025)