Sajad Ebrahimi

According to our database, Sajad Ebrahimi authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Peerispect: Claim Verification in Scientific Peer Reviews.

Ali Ghorbanpour, Soroush Sadeghian, Alireza DaghighFarsoodeh, Sajad Ebrahimi, Negar Arabzadeh, Seyed Mohammad Hosseini, Ebrahim Bagheri

CoRR, April, 2026

PeerPrism: Peer Evaluation Expertise vs Review-writing AI.

Soroush Sadeghian, Alireza Daqiq, Radin Cheraghi, Sajad Ebrahimi, Negar Arabzadeh, Ebrahim Bagheri

CoRR, April, 2026

Query Performance Prediction Using Neural Query Space Proximity.

Amin Bigdeli, Sajad Ebrahimi, Negar Arabzadeh, Sara Salamat, Shirin Seyedsalehi, Maryam Khodabakhsh, Fattane Zarrinkalam, Ebrahim Bagheri

ACM Trans. Intell. Syst. Technol., February, 2026

From Noise to Order: Learning to Rank via Denoising Diffusion.

Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri

CoRR, February, 2026

Diffusion-based generative modeling for expert team formation.

Mohammad Hossein Saliminabi, Sajad Ebrahimi, Radin Hamidi Rad, Dimitrios Androutsos, Fattane Zarrinkalam, Ebrahim Bagheri

Inf. Process. Manag., 2026

PeeriScope: A Multi-Faceted Framework for Evaluating Peer Review Quality.

Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Can LLMs Uphold Research Integrity? Evaluating the Role of LLMs in Peer Review Quality.

Negar Arabzadeh, Sajad Ebrahimi, Soroush Sadeghian, Seyed Mohammad Hosseini, Alireza Daqiq, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Gender disentangled representation learning in neural rankers.

Shirin Seyedsalehi, Sara Salamat, Negar Arabzadeh, Sajad Ebrahimi, Morteza Zihayat, Ebrahim Bagheri

Mach. Learn., 2025

Reinforcement Learning for Effective Few-Shot Ranking.

Shiva Soleimany, Sajad Ebrahimi, Shirin Seyedsalehi, Fattane Zarrinkalam, Ebrahim Bagheri

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem.

Sajad Ebrahimi, Sara Salamat, Negar Arabzadeh, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the Advances in Information Retrieval, 2025

RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments.

Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Muhan Li, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ProActLLM: Proactive Conversational Information Seeking with Large Language Models.

Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth J. F. Jones, Emine Yilmaz, Hamed Zamani

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Building Trustworthy Peer Review Quality Assessment Systems.

Negar Arabzadeh, Sajad Ebrahimi, Ali Ghorbanpour, Soroush Sadeghian, Sara Salamat, Muhan Li, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Estimating Query Performance Through Rich Contextualized Query Representations.

Sajad Ebrahimi, Maryam Khodabakhsh, Negar Arabzadeh, Ebrahim Bagheri

Proceedings of the Advances in Information Retrieval, 2024

Reviewerly: Modeling the Reviewer Assignment Task as an Information Retrieval Problem.

Negar Arabzadeh, Sajad Ebrahimi, Sara Salamat, Mahdi Bashari, Ebrahim Bagheri

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024