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Workshop
Sat 17:27 Toward Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
Kefan Song · Jin Yao · Shangtong Zhang
Poster
Wed 16:30 Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
Lucas Ponticelli · Vincent Loos · Eren Kocadag · Kacper Bartosik
Workshop
Sat 17:27 Measuring Representational Harms in Image Generation with a Multi-Group Proportional Metric
Sangwon Jung · Claudio Mayrink Verdun · Alex Oesterling · Sajani Vithana · Taesup Moon · Flavio du Pin Calmon
Workshop
Measuring Representational Harms in Image Generation with a Multi-Group Proportional Metric
Sangwon Jung · Claudio Mayrink Verdun · Alex Oesterling · Sajani Vithana · Taesup Moon · Flavio du Pin Calmon
Poster
Wed 16:30 Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
Iason Skylitsis · Zheng Feng · Idries Nasim · Camille Niessink
Workshop
Better Bias Benchmarking of Language Models via Multi-factor Analysis
Hannah Powers · Ioana Baldini · Dennis Wei · Kristin P Bennett
Workshop
Sat 17:27 Better Bias Benchmarking of Language Models via Multi-factor Analysis
Hannah Powers · Ioana Baldini · Dennis Wei · Kristin P Bennett
Workshop
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
To Eun Kim · Fernando Diaz
Workshop
Sat 9:00 Algorithmic Fairness through the lens of Metrics and Evaluation
Awa Dieng · Miriam Rateike · Jamelle Watson-Daniels · Golnoosh Farnadi · Nando Fioretto
Workshop
Multi-Output Distributional Fairness via Post-Processing
Gang Li · Qihang Lin · Ayush Ghosh · Tianbao Yang
Workshop
Sat 17:27 Multi-Output Distributional Fairness via Post-Processing
Gang Li · Qihang Lin · Ayush Ghosh · Tianbao Yang
Workshop
Evaluating Gender Bias Transfer between Pre-trained and Prompt Adapted Language Models
Nivedha Sivakumar · Natalie Mackraz · Samira Khorshidi · Krishna Patel · Barry-John Theobald · Luca Zappella · Nicholas Apostoloff