Saved in:
| Main Authors: | Oyshi, Uttamasha Anjally, Gauch, Susan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22438 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
Verifying Rumors via Stance-Aware Structural Modeling
by: Nkhata, Gibson, et al.
Published: (2025)
by: Nkhata, Gibson, et al.
Published: (2025)
Causal Analysis of Author Demographics in Academic Peer Review
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
by: Nkhata, Gibson, et al.
Published: (2026)
by: Nkhata, Gibson, et al.
Published: (2026)
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
by: Hong, Shi Yin, et al.
Published: (2025)
by: Hong, Shi Yin, et al.
Published: (2025)
Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
by: Vuong, An, et al.
Published: (2025)
by: Vuong, An, et al.
Published: (2025)
Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias
by: Shinde, Saish
Published: (2024)
by: Shinde, Saish
Published: (2024)
Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach
by: Liu, Mingxuan, et al.
Published: (2025)
by: Liu, Mingxuan, et al.
Published: (2025)
PeerRank: Autonomous LLM Evaluation Through Web-Grounded, Bias-Controlled Peer Review
by: Margalit, Yanki, et al.
Published: (2026)
by: Margalit, Yanki, et al.
Published: (2026)
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
by: Goyal, Palash, et al.
Published: (2026)
by: Goyal, Palash, et al.
Published: (2026)
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
by: Gao, Junxiang, et al.
Published: (2025)
by: Gao, Junxiang, et al.
Published: (2025)
The Path to Open Innovation: Peer-Review Under Fire (PRUF)
by: Billions, Ava, et al.
Published: (2025)
by: Billions, Ava, et al.
Published: (2025)
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations
by: Gohar, Usman, et al.
Published: (2024)
by: Gohar, Usman, et al.
Published: (2024)
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)
by: Cimpean, Alexandra, et al.
Published: (2025)
Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
by: Lv, Xinpeng, et al.
Published: (2026)
by: Lv, Xinpeng, et al.
Published: (2026)
Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences
by: Yang, Jing, et al.
Published: (2025)
by: Yang, Jing, et al.
Published: (2025)
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness
by: Das, Anindya Bijoy, et al.
Published: (2024)
by: Das, Anindya Bijoy, et al.
Published: (2024)
Emergent Bias and Fairness in Multi-Agent Decision Systems
by: Madigan, Maeve, et al.
Published: (2025)
by: Madigan, Maeve, et al.
Published: (2025)
Fairness Aware Reward Optimization
by: Choi, Ching Lam, et al.
Published: (2026)
by: Choi, Ching Lam, et al.
Published: (2026)
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)
by: Liu, Pengxi, et al.
Published: (2025)
Exploring How Fair Model Representations Relate to Fair Recommendations
by: Vassøy, Bjørnar, et al.
Published: (2026)
by: Vassøy, Bjørnar, et al.
Published: (2026)
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
by: Porcedda, Riccardo, et al.
Published: (2026)
by: Porcedda, Riccardo, et al.
Published: (2026)
FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
by: Yue, Ling, et al.
Published: (2026)
by: Yue, Ling, et al.
Published: (2026)
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction
by: Pascual-Triana, José Daniel, et al.
Published: (2024)
by: Pascual-Triana, José Daniel, et al.
Published: (2024)
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
by: Paraschou, Eva, et al.
Published: (2026)
by: Paraschou, Eva, et al.
Published: (2026)
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness
by: Ning, Yilin, et al.
Published: (2025)
by: Ning, Yilin, et al.
Published: (2025)
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
by: Hu, Yaowei, et al.
Published: (2024)
by: Hu, Yaowei, et al.
Published: (2024)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)
by: Lammers, Kathrin, et al.
Published: (2025)
Equitable Evaluation via Elicitation
by: Du, Elbert, et al.
Published: (2026)
by: Du, Elbert, et al.
Published: (2026)
Towards Environmentally Equitable AI
by: Hajiesmaili, Mohammad, et al.
Published: (2024)
by: Hajiesmaili, Mohammad, et al.
Published: (2024)
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
by: Zubair, Md, et al.
Published: (2025)
by: Zubair, Md, et al.
Published: (2025)
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
by: Adriaensen, Rik, et al.
Published: (2025)
by: Adriaensen, Rik, et al.
Published: (2025)
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
by: Xue, Yuyang, et al.
Published: (2024)
by: Xue, Yuyang, et al.
Published: (2024)
DAFA: Distance-Aware Fair Adversarial Training
by: Lee, Hyungyu, et al.
Published: (2024)
by: Lee, Hyungyu, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Dynamic Pricing: Balancing Profitability,Stability and Fairness
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2026)
by: Amma, Krishna Kumar Neelakanta Pillai Santha Kumari
Published: (2026)
Similar Items
-
Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026) -
Verifying Rumors via Stance-Aware Structural Modeling
by: Nkhata, Gibson, et al.
Published: (2025) -
Causal Analysis of Author Demographics in Academic Peer Review
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026) -
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
by: Nkhata, Gibson, et al.
Published: (2026) -
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
by: Hong, Shi Yin, et al.
Published: (2025)