Causal Dependencies for Future Interest Prediction on Twitter. - Negar Arabzadeh; Hossein Fani 001; Fattane Zarrinkalam; Ahmed Navivala; Ebrahim Bagheri (CIKM, 2018)

Geometric Estimation of Specificity within Embedding Spaces. - Negar Arabzadeh; Fattane Zarrinkalam; Jelena Jovanovic 001; Ebrahim Bagheri (CIKM, 2019)

Entity Retrieval Docker Image for OSIRRC at SIGIR 2019. - Negar Arabzadeh (OSIRRC@SIGIR, 2019)

Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction. - Negar Arabzadeh; Fattane Zarrinkalam; Jelena Jovanovic 001; Ebrahim Bagheri (ECIR (2), 2020)

Vis-Trec: A System for the In-depth Analysis of trec_eval Results. - Mahtab Tamannaee; Negar Arabzadeh; Ebrahim Bagheri (SIGIR, 2020)

WaterlooClarke at the Trec 2020 Conversational Assistant Track. - Negar Arabzadeh; Charles L. A. Clarke (TREC, 2020)

Neural embedding-based specificity metrics for pre-retrieval query performance prediction. - Negar Arabzadeh; Fattane Zarrinkalam; Jelena Jovanovic 001; Feras N. Al-Obeidat; Ebrahim Bagheri (Inf. Process. Manag., 2020)

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)

BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction. - Negar Arabzadeh; Maryam Khodabakhsh; Ebrahim Bagheri (CIKM, 2021)

MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. - Negar Arabzadeh; Bhaskar Mitra 001; Ebrahim Bagheri (CIKM, 2021)

Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. - Negar Arabzadeh; Xinyi Yan; Charles L. A. Clarke (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)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

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

WaterlooClarke at the TREC 2021 Conversational Assistant Track. - Xinyi Yan; Charles L. A. Clarke; Negar Arabzadeh (TREC, 2021)

Unsupervised Question Clarity Prediction through Retrieved Item Coherency. - Negar Arabzadeh; Mahsa Seifikar; Charles L. A. Clarke (CIKM, 2022)

Early Stage Sparse Retrieval with Entity Linking. - Dahlia Shehata; Negar Arabzadeh; Charles L. A. Clarke (CIKM, 2022)

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)

On the Characteristics of Ranking-based Gender Bias Measures. - Anja Klasnja; Negar Arabzadeh; Mahbod Mehrvarz; Ebrahim Bagheri (WebSci, 2022)

Supporting Complex Information-Seeking Tasks with Implicit Constraints. - Ali Ahmadvand; Negar Arabzadeh; Julia Kiseleva; Patricio Figueroa Sanz; Xin Deng; Sujay Kumar Jauhar; Michael Gamon; Eugene Agichtein; Ned Friend; Aniruddha (CoRR, 2022)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Alexey Skrynnik; Zoya Volovikova; Marc-Alexandre Côté; Anton Voronov; Artem Zholus; Negar Arabzadeh; Shrestha Mohanty; Milagro Teruel; Ahmed Awadallah 001; Aleksandr Panov; Mikhail Burtsev 001; Julia Kiseleva (CoRR, 2022)

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. - Shrestha Mohanty; Negar Arabzadeh; Milagro Teruel; Yuxuan Sun 004; Artem Zholus; Alexey Skrynnik; Mikhail Burtsev 001; Kavya Srinet; Aleksandr Panov; Arthur Szlam; Marc-Alexandre Côté; Julia Kiseleva (CoRR, 2022)

Shallow pooling for sparse labels. - Negar Arabzadeh; Alexandra Vtyurina; Xinyi Yan; Charles L. A. Clarke (Inf. Retr. J., 2022)

Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers. - Negar Arabzadeh; Radin Hamidi Rad; Maryam Khodabakhsh; Ebrahim Bagheri (CIKM, 2023)

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

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. - Negar Arabzadeh; Ali Ahmadvand; Julia Kiseleva; Yang Liu 124; Ahmed Hassan Awadallah; Ming Zhong 005; Milad Shokouhi (EACL (Findings), 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)

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)

A is for Adele: An Offline Evaluation Metric for Instant Search. - Negar Arabzadeh; Oleksandra Kmet; Ben Carterette; Charles L. A. Clarke; Claudia Hauff; Praveen Chandar (ICTIR, 2023)

Retrieving Supporting Evidence for Generative Question Answering. - Siqing Huo; Negar Arabzadeh; Charles L. A. Clarke (SIGIR-AP, 2023)

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

Query Performance Prediction: From Ad-hoc to Conversational Search. - Chuan Meng; Negar Arabzadeh; Mohammad Aliannejadi; Maarten de Rijke (SIGIR, 2023)

A Preference Judgment Tool for Authoritative Assessment. - Mahsa Seifikar; Linh Nhi Phan Minh; Negar Arabzadeh; Charles L. A. Clarke; Mark D. Smucker (SIGIR, 2023)

Preference-Based Offline Evaluation. - Charles L. A. Clarke; Fernando Diaz 001; Negar Arabzadeh (WSDM, 2023)

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions. - Shrestha Mohanty; Negar Arabzadeh; Julia Kiseleva; Artem Zholus; Milagro Teruel; Ahmed Awadallah 001; Yuxuan Sun 004; Kavya Srinet; Arthur Szlam (CoRR, 2023)

Retrieving Supporting Evidence for LLMs Generated Answers. - Siqing Huo; Negar Arabzadeh; Charles L. A. Clarke (CoRR, 2023)

A self-supervised language model selection strategy for biomedical question answering. - Negar Arabzadeh; Ebrahim Bagheri (J. Biomed. Informatics, 2023)

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

Enhanced Retrieval Effectiveness through Selective Query Generation. - Seyed Mohammad Hosseini; Negar Arabzadeh; Morteza Zihayat; Ebrahim Bagheri (CIKM, 2024)

Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels. - Negar Arabzadeh; Charles L. A. Clarke (EACL (1), 2024)

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)

KnowFIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities from Search. - Negar Arabzadeh; Kiarash Golzadeh; Christopher Risi; Charles L. A. Clarke; Jian Zhao (ECIR (5), 2024)

Query Performance Prediction: From Fundamentals to Advanced Techniques. - Negar Arabzadeh; Chuan Meng; Mohammad Aliannejadi; Ebrahim Bagheri (ECIR (5), 2024)

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

Estimating Query Performance Through Rich Contextualized Query Representations. - Sajad Ebrahimi; Maryam Khodabakhsh; Negar Arabzadeh; Ebrahim Bagheri (ECIR (4), 2024)

BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction. - Maryam Khodabakhsh; Fattane Zarrinkalam; Negar Arabzadeh (ECIR (3), 2024)

Context-Aware Query Term Difficulty Estimation for Performance Prediction. - Abbas Saleminezhad; Negar Arabzadeh; Soosan Beheshti; Ebrahim Bagheri (ECIR (4), 2024)

Assessing and Verifying Task Utility in LLM-Powered Applications. - Negar Arabzadeh; Siqing Huo; Nikhil Mehta 003; Qingyun Wu; Chi Wang 001; Ahmed Awadallah 001; Charles L. A. Clarke; Julia Kiseleva (EMNLP, 2024)

Offline Evaluation of Set-Based Text-to-Image Generation. - Negar Arabzadeh; Fernando Diaz 001; Junfeng He (SIGIR-AP, 2024)

Query Performance Prediction: Techniques and Applications in Modern Information Retrieval. - Negar Arabzadeh; Chuan Meng; Mohammad Aliannejadi; Ebrahim Bagheri (SIGIR-AP, 2024)

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

Ranked List Truncation for Large Language Model-based Re-Ranking. - Chuan Meng; Negar Arabzadeh; Arian Askari; Mohammad Aliannejadi; Maarten de Rijke (SIGIR, 2024)

Evaluation of Information Access Systems in the Generative Era - Abstract. - Negar Arabzadeh (WOWS@ECIR, 2024)

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. - Negar Arabzadeh; Julia Kiseleva; Qingyun Wu; Chi Wang 001; Ahmed Awadallah 001; Victor Dibia; Adam Fourney; Charles L. A. Clarke (CoRR, 2024)

A Comparison of Methods for Evaluating Generative IR. - Negar Arabzadeh; Charles L. A. Clarke (CoRR, 2024)

Generative Information Retrieval Evaluation. - Marwah Alaofi; Negar Arabzadeh; Charles L. A. Clarke; Mark Sanderson (CoRR, 2024)

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

Report on the Search Futures Workshop at ECIR 2024. - Leif Azzopardi; Charles L. A. Clarke; Paul B. Kantor; Bhaskar Mitra 001; Johanne R. Trippas; Zhaochun Ren; Mohammad Aliannejadi; Negar Arabzadeh; Raman Chandrasekar; Maarten de Rijke; Panagiotis Eustratiadis; William R. Hersh; et al. (SIGIR Forum, 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)

VAP3: Variation-Aware Prompt Performance Prediction. - Negar Arabzadeh; Ebrahim Bagheri (SIGIR, 2025)

A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment. - Negar Arabzadeh; Charles L. A. Clarke (SIGIR, 2025)

Benchmarking LLM-based Relevance Judgment Methods. - Negar Arabzadeh; Charles L. A. Clarke (SIGIR, 2025)

IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems. - Negar Arabzadeh; Ziheng Chen 002; Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR, 2025)

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. - Shrestha Mohanty; Negar Arabzadeh; Andrea Tupini; Yuxuan Sun 004; Alexey Skrynnik; Artem Zholus; Marc-Alexandre Côté; Julia Kiseleva (SIGIR, 2025)

Query Performance Prediction: Theory, Techniques and Applications. - Negar Arabzadeh; Chuan Meng; Mohammad Aliannejadi; Ebrahim Bagheri (WSDM, 2025)

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)

Gender disentangled representation learning in neural rankers. - Shirin Seyedsalehi; Sara Salamat; Negar Arabzadeh; Sajad Ebrahimi; Morteza Zihayat; Ebrahim Bagheri (Mach. Learn., 2025)

Robust query performance prediction for dense retrievers via adaptive disturbance generation. - Abbas Saleminezhad; Negar Arabzadeh; Radin Hamidi Rad; Soosan Beheshti; 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)

Query Performance Prediction Using Relevance Judgments Generated by Large Language Models. - Chuan Meng; Negar Arabzadeh; Arian Askari; Mohammad Aliannejadi; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

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