Navid Rekabsaz

89 papers A* 17A 7B 3C 1Misc 1Journal 35Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Batched Self-Consistency Improves LLM Relevance Assessment and Ranking. EMNLP Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz
2025	J	`jnl`	Batched Self-Consistency Improves LLM Relevance Assessment and Ranking. CoRR Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz
2024	—	`conf`	Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. EACL (1) Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024	J	`jnl`	Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. CoRR Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024	J	`jnl`	Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. Frontiers Big Data Deepak Kumar, Tessa Grosz, Navid Rekabsaz, Elisabeth Greif, Markus Schedl
2024	—	`conf`	Measuring Bias in Search Results Through Retrieval List Comparison. ECIR (5) Linda Ratz, Markus Schedl, Simone Kopeinik, Navid Rekabsaz
2024	—	`conf`	ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. ACL (Findings) Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz
2024	A*	`conf`	Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. EMNLP Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2024	J	`jnl`	Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. CoRR Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2024	—	`conf`	What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. EACL (Findings) Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher
2024	J	`jnl`	What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. CoRR Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher
2023	A*	`conf`	Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2023	—	`conf`	Domain Information Control at Inference Time for Acoustic Scene Classification. EUSIPCO Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023	J	`jnl`	Domain Information Control at Inference Time for Acoustic Scene Classification. CoRR Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023	J	`jnl`	Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR George Zerveas, Navid Rekabsaz, Carsten Eickhoff
2023	A*	`conf`	Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP George Zerveas, Navid Rekabsaz, Carsten Eickhoff
2023	B	`conf`	Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. CHIIR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2023	—	`conf`	Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning. HR@RecSys Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz, Markus Schedl
2023	A*	`conf`	Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification. IJCAI Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz
2023	J	`jnl`	Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification. CoRR Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz
2023	J	`jnl`	Leveraging Vision-Language Models for Granular Market Change Prediction. CoRR Christopher Wimmer, Navid Rekabsaz
2023	—	`conf`	Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. ACL (Findings) Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP. Frontiers Big Data Roberta Rocca, Nicolò Tamagnone, Selim Fekih, Ximena Contla, Navid Rekabsaz
2023	A	`conf`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. CoRR Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz
2023	A*	`conf`	Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users. CHI Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, Markus Schedl, Navid Rekabsaz
2022	A*	`conf`	CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2022	—	`conf`	Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? BIAS Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
2022	J	`jnl`	Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? CoRR Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
2022	—	`conf`	Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. MORS@RecSys Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	J	`jnl`	Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. CoRR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2022	—	`conf`	HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response. EMNLP (Findings) Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz
2022	J	`jnl`	HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response. CoRR Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz
2022	A*	`conf`	Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff
2022	B	`conf`	LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. CHIIR Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz
2022	A*	`conf`	Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2022	—	`conf`	Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research. UMAP (Adjunct Publication) Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz, Elisabeth Greif
2022	J	`jnl`	Parameter Efficient Diff Pruning for Bias Mitigation. CoRR Lukas Hauzenberger, Navid Rekabsaz
2022	A	`conf`	ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. RecSys Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl
2022	—	`conf`	Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. ISMIR Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	A*	`conf`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. SIGIR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2022	J	`jnl`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. CoRR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2022	—	`conf`	WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. NAACL-HLT Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz
2021	Misc	`conf`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	J	`jnl`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	A	`conf`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2021	J	`jnl`	Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
2021	A	`conf`	Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. ICWSM Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury
2021	A	`conf`	MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization. EACL Jenny Paola Yela-Bello, Ewan Oglethorpe, Navid Rekabsaz
2021	A*	`conf`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	J	`jnl`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	J	`jnl`	Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers. CoRR Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021	A*	`conf`	Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. SIGIR Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021	A*	`conf`	TripClick: The Log Files of a Large Health Web Search Engine. SIGIR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
2021	J	`jnl`	TripClick: The Log Files of a Large Health Web Search Engine. CoRR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
2021	J	`jnl`	WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. CoRR Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz
2020	—	`conf`	DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
2020	J	`jnl`	DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
2020	A*	`conf`	Do Neural Ranking Models Intensify Gender Bias? SIGIR Navid Rekabsaz, Markus Schedl
2020	J	`jnl`	Do Neural Ranking Models Intensify Gender Bias? CoRR Navid Rekabsaz, Markus Schedl
2019	—	`conf`	Efficient Answer-Annotation for Frequent Questions. CLEF Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury
2019	—	`conf`	Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury
2019	A*	`conf`	On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
2019	J	`jnl`	On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
2019	J	`jnl`	Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains. CoRR Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth R. Madikeri
2018	J	`jnl`	An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations. CoRR Navid Rekabsaz, Allan Hanbury
2017	J	`jnl`	Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian. CoRR Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Andrés Duque
2017	A	`conf`	Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding. ECIR Navid Rekabsaz, Mihai Lupu, Allan Hanbury
2017	—	`conf`	Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth. CLEF (Working Notes) João R. M. Palotti, Navid Rekabsaz
2017	J	`jnl`	Toward Incorporation of Relevant Documents in word2vec. CoRR Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury
2017	J	`jnl`	Toward Optimized Multimodal Concept Indexing. Trans. Comput. Collect. Intell. Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
2017	—	`conf`	Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. ACL (1) Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson, Allan Hanbury
2017	J	`jnl`	Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. CoRR Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Allan Hanbury, Alexander Dür, Linda Andersson
2017	A*	`conf`	Word Embedding Causes Topic Shifting; Exploit Global Context! SIGIR Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Hamed Zamani
2016	A*	`conf`	Enhancing Information Retrieval with Adapted Word Embedding. SIGIR Navid Rekabsaz
2016	A	`conf`	Generalizing Translation Models in the Probabilistic Relevance Framework. CIKM Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Guido Zuccon
2016	B	`conf`	Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation. LREC Navid Rekabsaz, Serwah Sabetghadam, Mihai Lupu, Linda Andersson, Allan Hanbury
2016	J	`jnl`	Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity. CoRR Navid Rekabsaz, Mihai Lupu, Allan Hanbury
2015	C	`conf`	On the use of statistical semantics for metadata-based social image retrieval. CBMI Navid Rekabsaz, Ralf Bierig, Bogdan Ionescu, Allan Hanbury, Mihai Lupu
2015	—	`conf`	Open Government Data as a Service (GoDaaS): Big Data Platform for Mobile App Developers. FiCloud Soheil Qanbari, Navid Rekabsaz, Schahram Dustdar
2015	—	`conf`	TUW @ MediaEval 2015 Retrieving Diverse Social Images Task. MediaEval Serwah Sabetghadam, João R. M. Palotti, Navid Rekabsaz, Mihai Lupu, Allan Hanbury
2015	—	`conf`	Toward Optimized Multimodal Concept Indexing. International KEYSTONE Conference Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury
2014	—	`conf`	A Real-World Framework for Translator as Expert Retrieval. CLEF Navid Rekabsaz, Mihai Lupu
2014	—	`conf`	CEA LIST's Participation at the MediaEval 2014 Retrieving Diverse Social Images Task. MediaEval Alexandru-Lucian Gînsca, Adrian Popescu, Navid Rekabsaz
2014	—	`conf`	TUW @ Retrieving Diverse Social Images Task 2014. MediaEval João R. M. Palotti, Navid Rekabsaz, Mihai Lupu, Allan Hanbury
2014	—	`conf`	TUW @ TREC Clinical Decision Support Track. TREC João R. M. Palotti, Navid Rekabsaz, Linda Andersson, Allan Hanbury