Uttamasha Oyshi

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

University of Arkansas

Faculty Researcher

12 pubs

Research Areas

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: 12

Selected Publications

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation (2026)

Underline Science Inc. DOI OpenAlex
Causal Analysis of Author Demographics in Academic Peer Review (2026)

arXiv (Cornell University) OpenAlex
From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review (2026)

arXiv (Cornell University) OpenAlex
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024)

DOI OpenAlex