Scholar

Navid Rekabsaz

Google Scholar ID: lZjyLyEAAAAJ

Thomson Reuters Labs

Deep LearningNatural Language ProcessingInformation Retrieval

Citations & Impact

All-time

Citations

1,618

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

Batched Self-Consistency Improves LLM Relevance Assessment and Ranking (2025)
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization (2024)
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale (2024)
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters (2024)
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition (2024)
Measuring Bias in Search Results Through Retrieval List Comparison (2024)
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors (2023)
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks (2023)
Parameter-efficient Modularised Bias Mitigation via AdapterFusion (2023)
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification (2023)
Show me a 'Male Nurse'! How Gender Bias is Reflected in the Query Formulation of Search Engine Users (2023)
Computational Versus Perceived Popularity Miscalibration in Recommender Systems (2023)
Natural Language Processing for humanitarian action: opportunities, challenges, and the path towards humanitarian NLP (2023)
Fairness of Recommender Systems in the Recruitment Domain: An Analysis from Technical and Legal Perspectives (2023)

Research Experience