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Workshop
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Towards Resource Efficient and Interpretable Bias Mitigation in Natural Language Generation
Schrasing Tong · Eliott Zemour · Rawisara Lohanimit · Lalana Kagal
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Workshop
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Large Language Models Still Exhibit Bias in Long Text
Wonje Jeung · Dongjae Jeon · Ashkan Yousefpour · Jonghyun Choi
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Affinity Event
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Mitigating Feature Bias in DL Models for Cervical Cytology
Subhashree Sahu · Shubham Ojha · Aditya Narendra
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Workshop
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Sat 17:27
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M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen Pereira · Giovani Valdrighi · Marcos M. Raimundo
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Workshop
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M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen Pereira · Giovani Valdrighi · Marcos M. Raimundo
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Workshop
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RLDF: Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs
Ruoxi Cheng · Haoxuan Ma · Shuirong Cao · Jiaqi Li · Aihua Pei · Zhiqiang wang · Pengliang Ji · Haoyu Wang · Jiaqi Huo
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Workshop
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From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems
Brian Hsu · Cyrus DiCiccio · Natesh Pillai · Hongseok Namkoong
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Workshop
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Sat 17:27
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From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems
Brian Hsu · Cyrus DiCiccio · Natesh Pillai · Hongseok Namkoong
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Workshop
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Integrating Participatory Methods with Technical Fairness Solutions: Enhancing Bias Mitigation and Equity in AI Systems
Abdoul Jalil Djiberou Mahamadou · Lea Goetz
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Workshop
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Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
Prakhar Ganesh · Usman Gohar · Lu Cheng · Golnoosh Farnadi
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
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