Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. - Negar Arabzadeh; Amin Bigdeli; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (CIKM, 2021)

Query Performance Prediction Through Retrieval Coherency. - Negar Arabzadeh; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2021)

Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets. - Amin Bigdeli; Negar Arabzadeh; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2021)

On the Orthogonality of Bias and Utility in Ad hoc Retrieval. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2021)

A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2022)

Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Bhaskar Mitra 001; Morteza Zihayat; Ebrahim Bagheri (EDBT, 2022)

Gender Fairness in Information Retrieval Systems. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2022)

Addressing Gender-related Performance Disparities in Neural Rankers. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Morteza Zihayat; Ebrahim Bagheri (SIGIR, 2022)

Feature-based question routing in community question answering platforms. - Soroosh Sorkhani; Roohollah Etemadi; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (Inf. Sci., 2022)

Neural Disentanglement of Query Difficulty and Semantics. - Sara Salamat; Negar Arabzadeh; Shirin Seyedsalehi; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (CIKM, 2023)

De-biasing Relevance Judgements for Fair Ranking. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Bhaskar Mitra 001; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2023)

Understanding and Mitigating Gender Bias in Information Retrieval Systems. - Amin Bigdeli; Negar Arabzadeh; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (3), 2023)

Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments. - Sara Salamat; Negar Arabzadeh; Amin Bigdeli; Shirin Seyedsalehi; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2023)

Quantifying Ranker Coverage of Different Query Subspaces. - Negar Arabzadeh; Amin Bigdeli; Radin Hamidi Rad; Ebrahim Bagheri (SIGIR, 2023)

LaQuE: Enabling Entity Search at Scale. - Negar Arabzadeh; Amin Bigdeli; Ebrahim Bagheri (ECIR (2), 2024)

Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. - Negar Arabzadeh; Amin Bigdeli; Charles L. A. Clarke (ECIR (2), 2024)

Learning to Jointly Transform and Rank Difficult Queries. - Amin Bigdeli; Negar Arabzadeh; Ebrahim Bagheri (ECIR (4), 2024)

Evaluating Relative Retrieval Effectiveness with Normalized Residual Gain. - Amin Bigdeli; Negar Arabzadeh; Ebrahim Bagheri; Charles L. A. Clarke (SIGIR-AP, 2024)

EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models. - Amin Bigdeli; Negar Arabzadeh; Ebrahim Bagheri; Charles L. A. Clarke (CoRR, 2024)

Understanding and Mitigating Gender Bias in Information Retrieval Systems. - Shirin Seyedsalehi; Amin Bigdeli; Negar Arabzadeh; Batool AlMousawi; Zack Marshall; Morteza Zihayat; Ebrahim Bagheri (Found. Trends Inf. Retr., 2025)

A contrastive neural disentanglement approach for query performance prediction. - Sara Salamat; Negar Arabzadeh; Shirin Seyedsalehi; Amin Bigdeli; Morteza Zihayat; Ebrahim Bagheri (Mach. Learn., 2025)

Adversarial Attacks against Neural Ranking Models via In-Context Learning. - Amin Bigdeli; Negar Arabzadeh; Ebrahim Bagheri; Charles L. A. Clarke (CoRR, 2025)