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cs.DB2026
Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa +1
Retrieval-Augmented Generation (RAG) improves reliability of large language models by incorporating external knowledge, but the retrieval process can introduce bias that propagates…
cs.IR2026
Explaining Group Recommendations via Counterfactuals
Maria Stratigi, Nikos Bikakis, Kostas Stefanidis
Group recommender systems help users make collective choices but often lack transparency, leaving group members uncertain about why items are suggested. Existing explanation method…