FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Fayyazi, Arya, Kamal, Mehdi, Pedram, Massoud |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
by: Fayyazi, Arya, et al.
Published: (2026)
by: Fayyazi, Arya, et al.
Published: (2026)
Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026)
by: Sah, Chandan Kumar, et al.
Published: (2026)
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
by: Fayyazi, Arya, et al.
Published: (2024)
by: Fayyazi, Arya, et al.
Published: (2024)
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)
by: Vassøy, Bjørnar, et al.
Published: (2023)
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, 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)
Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
by: Rampisela, Theresia Veronika, et al.
Published: (2026)
by: Rampisela, Theresia Veronika, et al.
Published: (2026)
Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)
by: Yoo, Hyunsik, et al.
Published: (2023)
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)
by: Jiang, Zhenhao, et al.
Published: (2024)
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
by: Sah, Chandan Kumar
Published: (2025)
by: Sah, Chandan Kumar
Published: (2025)
Intersectional Two-sided Fairness in Recommendation
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
Social Choice for Heterogeneous Fairness in Recommendation
by: Aird, Amanda, et al.
Published: (2024)
by: Aird, Amanda, et al.
Published: (2024)
Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation
by: Chen, Weixin, et al.
Published: (2026)
by: Chen, Weixin, et al.
Published: (2026)
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
by: Sah, Chandan Kumar, et al.
Published: (2025)
by: Sah, Chandan Kumar, et al.
Published: (2025)
Impression-Aware Recommender Systems
by: Maurera, Fernando B. Pérez, et al.
Published: (2023)
by: Maurera, Fernando B. Pérez, et al.
Published: (2023)
A Survey on Popularity Bias in Recommender Systems
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
by: Hua, Wenyue, et al.
Published: (2023)
by: Hua, Wenyue, et al.
Published: (2023)
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
by: Jannach, Dietmar, et al.
Published: (2024)
by: Jannach, Dietmar, et al.
Published: (2024)
Looking for Fairness in Recommender Systems
by: Logé, Cécile
Published: (2025)
by: Logé, Cécile
Published: (2025)
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
by: Fabbri, Francesco, et al.
Published: (2025)
by: Fabbri, Francesco, et al.
Published: (2025)
Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
by: Saldivar, Jorge, et al.
Published: (2025)
by: Saldivar, Jorge, et al.
Published: (2025)
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024)
by: Shi, Tianhao, et al.
Published: (2024)
Enhancing Learning Path Recommendation via Multi-task Learning
by: Nasrin, Afsana, et al.
Published: (2025)
by: Nasrin, Afsana, 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)
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
by: Arviv, Dor, et al.
Published: (2025)
by: Arviv, Dor, et al.
Published: (2025)
Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
by: Råmunddal, Justus
Published: (2025)
by: Råmunddal, Justus
Published: (2025)
Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation
by: Fan, Ge, et al.
Published: (2026)
by: Fan, Ge, et al.
Published: (2026)
Review of Explainable Graph-Based Recommender Systems
by: Markchom, Thanet, et al.
Published: (2024)
by: Markchom, Thanet, et al.
Published: (2024)
Stairway to Fairness: Connecting Group and Individual Fairness
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Item Cluster-aware Prompt Learning for Session-based Recommendation
by: Yang, Wooseong, et al.
Published: (2024)
by: Yang, Wooseong, et al.
Published: (2024)
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
by: Li, Zelong, et al.
Published: (2024)
by: Li, Zelong, et al.
Published: (2024)
Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)
by: Rastogi, Richa, et al.
Published: (2023)
Properties of Group Fairness Metrics for Rankings
by: Schumacher, Tobias, et al.
Published: (2022)
by: Schumacher, Tobias, et al.
Published: (2022)
A Tutorial On Intersectionality in Fair Rankings
by: Criscuolo, Chiara, et al.
Published: (2025)
by: Criscuolo, Chiara, et al.
Published: (2025)
From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
by: Le, Ngoc Luyen, et al.
Published: (2025)
by: Le, Ngoc Luyen, et al.
Published: (2025)
Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
by: Tong, Pengfei, et al.
Published: (2026)
by: Tong, Pengfei, et al.
Published: (2026)
Similar Items
-
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
by: Fayyazi, Arya, et al.
Published: (2025) -
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
by: Fayyazi, Arya, et al.
Published: (2026) -
Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026) -
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
by: Fayyazi, Arya, et al.
Published: (2024) -
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)