Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study. - Sara Salamat; Nima Tavassoli; Behnam Sabeti; Reza Fahmi (CoRR, 2022)

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

Learning Query-Space Document Representations for High-Recall Retrieval. - Sara Salamat; Negar Arabzadeh; Fattane Zarrinkalam; Morteza Zihayat; Ebrahim Bagheri (ECIR (2), 2023)

Neural Ad-Hoc Retrieval Meets Open Information Extraction. - Duc-Thuan Vo; Fattane Zarrinkalam; Ba Pham; Negar Arabzadeh; Sara Salamat; Ebrahim Bagheri (ECIR (2), 2023)

Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem. - Negar Arabzadeh; Sajad Ebrahimi; Sara Salamat; Mahdi Bashari; Ebrahim Bagheri (CIKM, 2024)

exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem. - Sajad Ebrahimi; Sara Salamat; Negar Arabzadeh; Mahdi Bashari; Ebrahim Bagheri (ECIR (3), 2025)

Benchmarking Prompt Sensitivity in Large Language Models. - Amir Hossein Razavi; Mina Soltangheis; Negar Arabzadeh; Sara Salamat; Morteza Zihayat; Ebrahim Bagheri (ECIR (3), 2025)

Gender disentangled representation learning in neural rankers. - Shirin Seyedsalehi; Sara Salamat; Negar Arabzadeh; Sajad Ebrahimi; Morteza Zihayat; Ebrahim Bagheri (Mach. Learn., 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)