Uttamasha Oyshi
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Uttamasha Oyshi's research focuses on developing and evaluating methods for bias mitigation and quality optimization in automated systems, particularly in the context of academic paper recommendation and retrieval-augmented generation. Oyshi has co-authored publications on ClusterRAG, a system employing cluster-based collaborative filtering for personalized retrieval-augmented generation, and on fair learning approaches to address bias and improve quality in paper recommendation systems. Additionally, Oyshi has investigated the causal analysis of author demographics in academic peer review, aiming to promote equitable peer review processes. Oyshi collaborates with Susan Gauch and Gibson Nkhata at the University of Arkansas at Fayetteville, with whom they share seven publications.
Metrics
- Publications: 10
Selected Publications
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ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)
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ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)
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ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)arXiv (Cornell University) OpenAlex
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Causal Analysis of Author Demographics in Academic Peer Review (2026)arXiv (Cornell University) OpenAlex
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From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review (2026)arXiv (Cornell University) OpenAlex
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Causal Analysis of Author Demographics in Academic Peer Review (2025)
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Verifying Rumors via Stance-Aware Structural Modeling (2025)
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Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024)
Collaboration Network
Top Collaborators
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Verifying Rumors via Stance-Aware Structural Modeling
- Causal Analysis of Author Demographics in Academic Peer Review
- Causal Analysis of Author Demographics in Academic Peer Review
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
Showing 5 of 7 shared publications
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Verifying Rumors via Stance-Aware Structural Modeling
- From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review
- Causal Analysis of Author Demographics in Academic Peer Review
- Causal Analysis of Author Demographics in Academic Peer Review
Showing 5 of 6 shared publications
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Verifying Rumors via Stance-Aware Structural Modeling
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
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