6 papers
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai +1
Personalized Retrieval-Augmented Generation (RAG) relies on accurately selecting user-relevant documents. In practice, existing RAG approaches often suffer from high retrieval cost…
Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation
Uttamasha Anjally Oyshi, Susan Gauch
Despite frequent double-blind review, demographic biases of authors still disadvantage the underrepresented groups. We present Fair-PaperRec, a MultiLayer Perceptron (MLP)-based mo…
Causal Analysis of Author Demographics in Academic Peer Review
Uttamasha Anjally Oyshi, Gibson Nkhata, Susan Gauch
Academic meritocracy is jeopardized by systematic imbalances; for example, whereas Black and Hispanic individuals constitute over 30% of the U.S. population, they represent fewer t…
From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review
Uttamasha Anjally Oyshi, Susan Gauch
Despite frequent double-blind review, systemic biases related to author demographics still disadvantage underrepresented groups. We start from a simple hypothesis: if a post-review…
Verifying Rumors via Stance-Aware Structural Modeling
Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai +1
Verifying rumors on social media is critical for mitigating the spread of false information. The stances of conversation replies often provide important cues to determine a rumor's…
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
Shi Yin Hong, Uttamasha Oyshi, Quan Mai +2
Emotional support (ES) systems alleviate users' mental distress by generating strategic supportive dialogues based on diverse user situations. However, ES systems are limited in th…